Data Business Analyst Resume Samples

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HN
H Nitzsche
Heber
Nitzsche
92073 Wayne Freeway
Boston
MA
+1 (555) 457 8654
92073 Wayne Freeway
Boston
MA
Phone
p +1 (555) 457 8654
Experience Experience
Los Angeles, CA
Data Business Analyst
Los Angeles, CA
Crist and Sons
Los Angeles, CA
Data Business Analyst
  • Create and execute complex queries focused on extracting and evaluating data
  • Provide financial analysis and review of data for executive management
  • Developing artefacts and processes to assist the LoBs in analyzing their application portfolios and assessing opportunities for cloud migration
  • Provide analysis support remediation work undertaken by delivery partners
  • Create visualizations of data for business user review, i.e. bar charts, line graphs etc to provide meaningful interpretations for action
  • Provide financial data for analysis and review by executive management
  • Participate in all BI development activities, including development, testing, implementation and rollout
Phoenix, AZ
Data / Business Analyst
Phoenix, AZ
Sawayn, Schuster and Schuster
Phoenix, AZ
Data / Business Analyst
  • Perform ongoing master data profiling to identify data defects and execute data quality remediation action
  • Provides technical assistance in training, mentoring, and coaching professional and technical staff
  • Working closely with both IT development teams and business teams in an agile environment to ensure successful delivery and efficient use of resources
  • Assist in the change management and QA/Testing phases of the project
  • Create reports on metrics and data sampling
  • Assist with the design and implementation of operational and system enhancements to ensure production capabilities are both effective and efficient
  • Create data centric and process centric use-case flows
present
Phoenix, AZ
Market Data Business Analyst
Phoenix, AZ
Haag Inc
present
Phoenix, AZ
Market Data Business Analyst
present
  • Working knowledge of MDSL's "Market Data Manager" and Dashboards
  • Work with Global colleagues across the Market Data team to effectively execute on global and regional initiatives
  • Providing guidance to users and management on Market Data usage terms and conditions
  • Working with Global colleagues across the Market Data team to effectively execute on global and regional initiatives
  • Manage and foster relationships with market data vendors and internal Business and Technology professionals consuming market data products
  • Working knowledge of MDSL's RPM system
  • Build relationships and regular communication lines with the business and key stakeholders. Establish trust and credibility. Develop and leverage a network. Motivate and organize the business to maximize their return on market data costs and investments. This includes building business cases, proposing projects, presenting ideas and marketing opportunities
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
West Virginia University
Bachelor’s Degree in Computer Science
Skills Skills
  • Good interpersonal skills – Confident, solid communication skills with good work attitude, proactive
  • Excellent problem solving and analytical skills, ability to think strategically
  • Able to work independently, self-motivated and a strong team player
  • Excellent written and verbal communication skills, able to communicate with all levels of the organization
  • Excellent Analytical skills – Investigate issues with attention to details and accuracy
  • Strong analytical skills and writing skills, to include solid experience in writing functional and technical specifications
  • Strong negotiating skills, comfortable executing against recommendations & plans by overcoming barriers and resistance
  • Ability to forge strong relationships and build a wide network throughout the firm
  • Ability to be flexible in reacting and adapting quickly to changes
  • A good understanding of the role and responsibilities of a Project Manager and a broad knowledge of the project lifecycle
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15 Data Business Analyst resume templates

1

Enterprise Data & Business Analyst Resume Examples & Samples

  • Hands-on experience in the Financial Services or other highly regulated
  • Ability to manage multiple tasks and deliver against a deadline
  • Clear written and oral communication
  • Business Intelligence/Reporting tool (e.g., Business Objects, QlikView) SharePoint
  • MS Office with strong Excel
  • Project Management and SDLC
2

Reference Data Business Analyst Resume Examples & Samples

  • Understands and realizes business strategy for Reference Data Product Production
  • Performs business analysis to define solutions, options and recommendations in the reference data area
  • Effectively communicates across all organizational levels
  • Cooperates closely with business teams to ensure process quality and ongoing process development
  • Supports projects and dependencies in the product reference data area
  • Actively identifies and realizes synergies between Reference Data Product Production departments
  • Participates in various phases of release management
  • Ability to work in virtual teams and international environment
  • Outstanding analytical skills, including thorough understanding of how to interpret customer business needs and translate them into operational requirements
  • Proficient MS Office / iGrafx skills would be an asset
  • A client-focused attitude, efficient working style and excellent communication skills in order to interact with business partners and senior management
  • Proactive approach and creative thinking
  • Effective time management – able to work under pressure and meet project deadlines
  • Project management background would be an asset
3

Methodology & Market Data Business Analyst Resume Examples & Samples

  • Communication and reviews with key stakeholders across Front Office, Market Data Analysis & Management, Quantitative Strategies, Risk and Technology
  • Partnership with Technology and Market Data Analysis & Management to deliver requirements
  • Manage the testing process with impacted parties
  • Define and agree a Business as Usual (BAU) market data process to ensure that the quality of data is maintained post the Strategic Risk Programme
  • Work effectively with Quantitative Strategies and Risk to define and agree methodologies and manage the implementation of the target methodologies
  • Comfortable with working closely with a range of stakeholders, manage working groups and work closely with technology to ensure successful delivery of requirements
  • LI-CSJOB*
4

Finance Reference Data Business Analyst Resume Examples & Samples

  • Public face of the Finance Ref Data IT team and is the point person for all questions/concerns/issues directed to the team. Goal is to provide accurate information on all aspects of team responsibilities (including data content, high-level design/implementation, delivery/deployment plans & timings)
  • Will need to knowledgeably/professionally handle all business & technical questions/issues/concerns and triage appropriately, then manage follow-ups until the issue is resolved. Follow-ups may include setting up and managing conference calls/meetings to ensure all participants? concerns are heard and providing information/guiding the conversations towards solutions both tactical and strategic
  • Must be able to multi-task effectively between monitoring of emails/communications that could signal impending problems/issues vs. working on team projects as designated by the Manager
  • Must have deep familiarity with all reference data that falls within the team?s purview and must be able to answer (or track down answers to) all data/function-related questions
  • Ability to support all phases of SDLC requirements gathering, development, testing, production implementation and post production
  • Is expected to write technical and functional specifications that developers can implement
  • Must be able to coordinate integrated testing cycles with other IT teams
  • Tasks include, but are not limited to
  • Investigating data sourcing requirements, discussions with upstream systems, analysis of data to ensure requirements are met, understanding any resulting consequences to other/downstream systems, writing functional requirements documents suitable for developers to action, coordinating expectations from users/other IT teams
  • Trouble-shooting and resolving data issues as reported by developers/users/other IT teams
  • Participating in strategic data-rationalization exercises as conducted by EDAP etc. and contributing knowledge
  • Researching and documenting team projects as designated by the Manager
  • All of the tasks would need to be performed in all the different environments (dev,qa,uat and production)
  • At least 5-10 years working as an IT-BA and/or DA within an IT department, supporting both developers & users (business or other IT teams)
  • Good SQL skills for data analysis (data sourcing & trouble-shooting)
  • Any IT development experience preferably in the database space, a big plus
  • Experience with data modeling and data modeling tools (ERWin, Power Designer) a plus
  • Familiarity with ETL tools like Informatica, a plus
  • Excellent written and oral communication skills for managing interactions both within the team and without
  • Experience or deep familiarity with developer responsibilities/requirements (in order to write appropriately-detailed functional requirements documents)
  • Experience working in reference data
  • Experience within the financial services industry in working on very large complex projects
  • IT Development background or very close familiarity with IT development practises needed
  • Understanding of Finance processing around PNL Reporting, Sub Ledger and General Ledger
  • Very strong attention to detail and organizational skills. Strong work ethic
  • Ability to multi-task and remain flexible in fast paced environment
  • Results-orientation - takes initiative to identify areas to add value and executes quickly and accurately
  • Detailed oriented allowing for fully complete analysis and designs
5

Market Data Business Analyst Resume Examples & Samples

  • BA/BS preferably in Accounting, Finance, Economics, Technology or related fields
  • At least 5+ years relevant experience within Market Data Services, Back Office, or Commission Management
  • Previous experience interacting with and supporting Trading and/or Senior Investment Professionals
  • Demonstrated ability to analyze, compile and present relevant complex data sets
  • Capable of developing innovative solutions to complex problems with marginal supervision
  • Project Management experience
  • Demonstrated understanding of equity and fixed income trade life cycle
  • General understanding of Soft Dollars, SEC Rule 28e and its application
  • General understanding of MDS products/services
  • Advanced level of MS Excel, Word, PowerPoint is required; Access
  • Buy-side experience
  • Ability to gain an understanding of end-to-end processes and technology architecture, key performance and control measures and value drivers
6

Reference Data Business Analyst Resume Examples & Samples

  • Work with global stakeholders in understanding and translating requirements to the underlying data
  • Perform business analysis to help define solution options and recommendations, including pros/cons and rationale for recommendations
  • Configure regulatory and workflow rules in business rules engine
  • Coordinate user acceptance testing for business users including preparing test scripts, validating test completion and signoff
  • Identify and document process changes and system enhancements
  • Ensure process improvement through redesign is at the forefront of all initiatives
  • Coordinate with QA team to execute test cycles
  • Construct test data and ensure results match functional specifications
7

Data Business Analyst Resume Examples & Samples

  • The Candidate should have in-depth expertise in designing and developing data queries, charts, dashboards, and metrics and trend reporting
  • Candidate must be familiar with OLAP concepts and reporting
  • Provide financial data for analysis and review by executive management
  • Create complex ad-hoc SQL queries focused on extracting and evaluating data
  • Create visualizations of data for business user review, i.e. bar charts, line graphs, Visio charts, etc to provide meaningful interpretations for action
  • Design dashboards to highlight key performance indicators for immediate consumption
  • Interface with business intelligence (BI) developers to identify business requirements and mockups for implementing said requirements
  • Work with business users to review, analyze and evaluate business systems and users needs to ensure all business requirements have been met, documenting findings and communicating appropriately
  • Participate in all BI development activities, including development, testing, implementation and rollout
  • The selected individual must be highly motivated and have skills in business analysis as well as data analysis
  • Candidate should have a proven track record of being able to plan, prioritize, estimate, and deliver projects and work efforts on time
  • Willing to learn new tools and technologies to be able to work effectively in a rapid growth environment with changing needs and requirements
  • Minimum 5+ years of experience working with SQL, Data Warehousing and databases, and Business Intelligence concepts and solutions
  • Experience in working on medium to large scale Enterprise Data Warehouse environment is a plus
  • Excellent problem solving and analytical skills, ability to think strategically
  • Able to work independently, self-motivated and a strong team player
  • Excellent written and verbal communication skills, able to communicate with all levels of the organization
  • Experience building, interpreting, and implementing predictive models is a plus
  • Bachelor's degree or equivalent in Computer Science, Statistics, Economics, Finance, or related field preferred
  • Previous analytical and data-related experience (at least 3 years)
  • Previous experience working with financial data is a plus
  • Industry knowledge or experience equivalent
8

Data / Business Analyst Resume Examples & Samples

  • Hybrid role, this person will be working with the finance, accounting and IT teams
  • Strong financial background
  • 3 to 5 years experience
  • Strong Excel skills – Vlookups, formulas, pivot tables – they will be using Excel daily
  • Must be a good communicator and very strong technically
  • This position is a blend between a financial analyst and a business analyst
9

Data Business Analyst Resume Examples & Samples

  • Work closely with business stakeholders to perform in depth analysis to support control report parameters and objectives
  • Validate data results and ensure accuracy of reported information engaging with Trade Management and data suppliers; perform quality checks of reporting
  • Perform in depth analysis to identify root cause of exceptions and assist in remediating underlying information when required
  • Work with IT support team to align reporting to required end results
  • Develop communication and training plans to conduct formal reviews of control dashboard
  • Conduct review sessions with business stakeholders
  • Identify training opportunities via trend analysis of common exceptions
  • Gather requirements from business stakeholder to enhance/modify existing reporting
  • Align control monitoring and quality checks to IB Controls framework
  • Solid SQL/VBA skills (preferred)
  • 4- 6 Yrs of Business/Data Analysis
  • Experience in preparation of Documentation (business requirements documentation and functional requirements document input)
10

Market Data Business Analyst, Avp to VP Resume Examples & Samples

  • Provide information, advice, solutions and value-added consultation on market data as a subject matter expert to various groups from Investment Banking, other Credit Suisse group business units, including colleagues in Market Data Services, IT, and sourcing functions
  • Gather, document, critically analyze and communicate market and reference data business requirements and issues. Understand user requirements for contract renewals, and user requests for new services etc. Includes analyzing the impact on Market Data Business Advisory strategy, identifying opportunities, appropriately challenging sourcing and solution proposals, communicating to stakeholders, feeding requirements to IT and proposing solutions, obtaining approvals, evaluating cost allocations
  • Build relationships and regular communication lines with the business and key stakeholders. Establish trust and credibility. Develop and leverage a network. Motivate and organize the business to maximize their return on market data costs and investments. This includes building business cases, proposing projects, presenting ideas and marketing opportunities
  • Manage and deliver Market Data projects. Represent the sponsor’s view and assume responsibility for request management, budget allocation, timeline/milestones (in collaboration with IT), and communication to stakeholders on the project status. Lead demand management activities requested from client e.g. rationalization exercises, product replacement analyses
11

Reference Data-business Analyst Resume Examples & Samples

  • Strong verbal and written communication skills, able to explain rationale for decisions to technical and non-technical stakeholders
  • Ability to work with limited oversight and with a distributed team while still delivering as required
  • Ability to build and maintain strong relationships with business and technology partners
  • Experience as a technical Business Analyst in an Investment Banking setting
  • Experience analyzing both business and technical requirements
  • Experience with documentation / issues tracking tools
  • Ability to build and maintain strong relationships with business partners and technology
  • Ability to understand and analyze business processes & workflows with the objective of providing recommendations for the best use of technology to improve these
  • Ability to multi task and change priorities quickly
  • Core IT skills (Word, PowerPoint, Visio). Expert with MS Excel
  • Data Analysis & Data Modeling - Experience documenting data model in both graphical and textual forms. Comfortable reading SQL languages to determine how data elements are used
  • Understanding of Trade lifecycle and market participant roles
  • Understanding of Custody , Prime Broker or IB platforms /business models
  • Experience defining master data architectures and recommending “golden sources” of data
  • Experience with process modeling for “As Is” and “To Be” system flows to support business processes
  • Experience with Oracle/Sybase; SQL query writing; and relational databases (from a Business Analysis point of view)
  • Comfortable reading Java
  • Experience with QA procedures and able to facilitate and oversee test processes
12

Ref Data Business Analyst Resume Examples & Samples

  • 6) Maintain system analysis documentation and ensure configuration management of those documents. Ability to design and come up with Process flows
  • 7) Raise project risks and issues
  • 8) Support development and testing cycles 
  • 2) Working knowledge on Knowledge of Microsoft Suite, PowerPoint, Project, Visio, ARIS
  • 3) Exposure to relational databases like Oracle. Structured, methodical thinker
  • 4) Demonstrated ability to multi-task, Candidate must be diligent and proactive, Good interpersonal skills
13

Data / Business Analyst Resume Examples & Samples

  • Perform Business and Data Analysis for end user report requests using SQL, and or Business Objects or other reporting/data mining tools as indicated
  • Support all technology projects in the analysis, documentation and socialization of data requirements in accordance with the needs of the technology program
  • Collaborate with Information Architecture and Business Analysis teams in formulation of requirements for data across all of Private Banking’s product lines including Deposits, Trust, Credit, Risk Analytics and Client Reference Data
  • Develop appropriate requirements documentation in line with SDLC framework including Data Requirements, Mapping and Test Plans
  • Support day to day production inquiries and questions from other technology groups
  • Assist with the end to end project management of reporting and ETL development projects within the team
  • 3-5 years of relevant experience with concentration in Data Analysis and Design
  • Financial Industry background including Trust and Custody, Deposits, Reference Data (Client and Securities), Credit and Risk analytics, Brokerage and Banking Systems
  • Knowledge of relevant technology toolsets relative to data analysis and documentation including SQL, Data Modeling, Metadata organization, data cleansing,
  • And reporting tools such as Business Objects, or other data reporting/data mining tools
  • Knowledge of Operational Data Warehousing disciplines and related toolsets
  • Excellent communication skills, written and oral
  • Ability to document technical specifications
14

Equities Derivatives & Ref Data Business Analyst Resume Examples & Samples

  • Detailed business knowledge of Equity Derivative products and practical experience trading products
  • Quantitative modeling background and strong understanding of complex pricing models use for equity derivative products
  • Experience modeling low-latency distribution frameworks for reference and pricing data
  • Strong written communication, presentation, organizational and interpersonal skills
  • Able to perform detailed level analysis of business requirements, detail-oriented
  • Good team player and also be able to work independently
  • Eager to learn and self-motivated
15

Data Business Analyst Resume Examples & Samples

  • Deliver qualitative and quantitative analysis
  • Work with the relevant stakeholders to understand impact of in-flight activities on data gathering process
  • Provide analysis support remediation work undertaken by delivery partners
  • Engage with stakeholders in the UK, Asia and North America
  • Participate in design workshops and meetings in conjunction with business and technology teams, proposing, documenting and defining system solutions
  • Escalate issues that endanger project or programme level milestones and maintain communications with other dependent projects or programmes
  • Strong track record in data analysis, profiling, data modelling, process change and process improvements
  • Significant previous experience in business analysis from an Investment Banking environment
  • Ability to create strong partnerships with key stakeholders
  • Finance reporting process knowledge
  • Previous involvement in Data Clean or Data Remediation would be an advantage
16

Data Business Analyst Resume Examples & Samples

  • Create prototypes for business valuation and feedback
  • Write detailed functional requirements and use cases
  • Partner with data providers to ensure model requirements are met
  • Support development team in creating detailed technical specifications
  • Manage the QA team with test case writing, planning and execution
  • Conduct UAT, training sessions and user demos
  • Excellent written and communication skills (in English)
  • Experience following the SDLC (Waterfall, Agile)
  • Basic knowledge of Financial industry
  • Strong data analytical mindset
  • Financial industry knowledge in Sales & Trading or Investment Banking
17

Data / Business Analyst Resume Examples & Samples

  • An expert in developing solutions using QlikView software
  • Expert level skill in integrating data using QlikView o Expert level skill in QlikView scripting
  • Decent exposure to QlikView UI development
  • Good level of comfort using VB Scripts to write Macros in QlikView and/or Excel
  • Expert level skill in Dashboard UX design (layouts, integrating maps, color schemes, etc.)
  • Good knowledge of installing and configuring/administering Qlikview Desktop, Qlikview Server, IIS Server and Qlikview Publisher
  • Should have architected and implemented QlikView in a high availability clustered environment
  • Experience in managing Accesspoint security thru Active Directory and DMS
  • Schedule QVW reloads on server and troubleshoot errors and failures
  • Candidate should possess strong background in Data Analysis and be an expert data modeler
  • Expert level skill in using SQL
  • Experience in a Data Warehouse environment reporting on dimensions/hierarchies o Experience in Star Schema/Snowflake modeling, FACT & Dimensions tables
  • Willingness to learn about business processes, and data (systems/returns/performance/drivers) to create robust and comprehensive analyses via technology solutions
  • Capable of multitasking & prioritizing in a fast paced and agile work environment
  • Attention to detail and a passion to produce a quality product
18

Junior Data Business Analyst Resume Examples & Samples

  • Reports requirement gathering
  • Report design
  • Providing some training to various users of the business intelligence platform
19

IB Foundation Data Business Analyst Resume Examples & Samples

  • Manage the creation of data dictionary across multiple reference data domains
  • Develop a communications strategy to enforce Data Ownership responsibilities at the data element level
  • Deep dive into multiple reference data domains to ensure effective creation of the Data Dictionary including Sub Domains, Definitions and Business and IT rules
  • Identify and train firm wide resources regarding their data governance roles and responsibilities
  • Ensure that Data Governance KPC's are adopted across the firm
20

Market Risk Data Business Analyst Resume Examples & Samples

  • Develop the detailed business requirements, high-level solution design and functional requirements to a clear and unambiguous standard as a solid foundation for implementation by Software Delivery (SWD)
  • Perform data analysis on existing limits data sets, identifying behaviour of limits lifecycle and providing recommendations on the migration logic from existing legacy applications to GLR
  • Liaise with a variety of business stakeholders to create a consolidated view of requirements and facilitate sign off
  • Software Delivery in the Functional Requirements Specification, production and subsequent software development
  • Provide functional test plans and liaise with SWD to provide non-functional test plans, arrange test environments and testing support. Liaise with users to confirm test requirements and ensure suitable UAT test plans are constructed
  • Support the GLR Project Manager with updates to Programme Steering Committees
  • Proven and recent experience as a hands-on business analysis in Global Risk Systems (Traded Counterparty Credit or Market Risk) - 5 to 10 years
  • Conceptual understanding of Market Risk (e.g. VAR, risk sensitivities) ideally with experience in limit management or utilisation reporting
  • OLAP knowledge (e.g. MDX syntax and/or Active Pivot knowledge)
  • Demonstrated experience on prior projects where candidate is able to "get stuck" into large data sets (preferably experience with Oracle databases)
21

Market Data Business Analyst Resume Examples & Samples

  • Previous experience in a Market Data Commercial team for a financial institution, providing Market Data support for Technology teams and Internal applications
  • A good knowledge of the international Equity and Fixed Income market place
  • Working knowledge of MDSL�s �Market Data Manager� and Dashboards
  • Working knowledge of MDSL�s RPM system
  • Knowledge of DACS is essential
  • Self confidence in order to explore product usage with trading users and management
  • Familiarity with data content and application functionality from the major market data vendors
  • Involvement in projects from inception to successful conclusion
  • Knowledge of reference data contracts would be beneficial but not essential
  • An understanding of control environments and reporting and how Management information plays a part in effective management
22

Data Business Analyst Resume Examples & Samples

  • Eliciting and documenting requirements and user acceptance criteria for the Institutional Bank's data warehouse platform
  • Reviewing test plans for completeness
  • Obtaining user requirement sign-off
  • Identifying business process improvement opportunities
23

Data / Business Analyst Resume Examples & Samples

  • Expert level skill in integrating data using QlikView
  • Expert level skill in QlikView scripting
  • Expert level skill in Dashboard UX design (layouts, integrating maps, color schemes, etc
  • Candidate should possess strong background in Data Analysis and be an expert data modeler ◦Expert level skill in using SQL
  • Experience in a Data Warehouse environment reporting on dimensions/hierarchies
  • Experience in Star Schema/Snowflake modeling, FACT and Dimensions tables
  • Capable of multitasking and prioritizing in a fast paced and agile work environment
24

Data / Business Analyst Resume Examples & Samples

  • Working with a broad range of users and stakeholders to understand business objectives
  • Working with user experience teams to develop effective information and visual designs
  • Continue to drive products through release, deployment, adoption and feedback to maximize business value
  • Experience of working with Investment Banking products and asset classes
  • Experience of working with complex data architectures and financial instrument reference data
  • A minimum of 3 years in a business analysis role with experience of various tools and techniques
  • SQL skills for data exploration and data understanding
25

IT Data / Business Analyst Resume Examples & Samples

  • Capturing detailed requirements based upon user interviews and system/data analysis
  • Identifying potential solutions; evaluating for technical and business suitability
  • Working with QA teams to ensure effective and appropriate testing; participating in user acceptance testing
  • Continue to drive products through release, deployment, adoption and feedback to maximise business value
  • A proven track record of successful project delivery through close collaboration with both Business and IT
  • A strong working knowledge of enterprise application development technology
  • Sales and client facing technology within an investment bank
  • A creative problem solver with the ability to identify process improvement and a logical, systematic approach to drive through implementation
  • Excellent time management and organisational skills, able to meet deadlines in a challenging environment
26

Client Reference Data Business Analyst Resume Examples & Samples

  • Process re engineering
  • UAT Test management
  • Leading product demos/roadshows
  • Requirements writing
  • Delivering the overall project on time, ensuring any obstacles along the way have been resolved and escalated if necessary
  • Candidate would have to be a strong performer, able to work independently and create strong partnerships. Know when to escalate and offer solutions to issues encountered
  • End-to-End project management experience
  • Experience in Technology system development and implementation
  • Previous experience with custody and/or markets products a plus
  • Excellent communication skills - both written and verbal
  • Excellent organizational and project management skills
  • Have strong questioning and analytical skills to contribute towards ongoing development of controls as well as automation initiatives
  • Strong influencing and negotiation skills
  • Adaptability, creativity and strong analytical skills
  • Self starter; able to work autonomously
  • Ability to drive key activities across a range of groups
  • Strong delivery track record
  • Ability to partner with various stakeholders
  • Owns and contributes to activities both within and without direct remit
27

Technical Data Business Analyst Resume Examples & Samples

  • Serve as liaison between technical team and business users
  • Drive the business and functional requirements gathering and documentation
  • Provide technical and functional guidance to the business to make the best possible decision
  • Able to work across multiple global teams to achieve acquiring requirements and signoffs
  • Able to analyze financial data and use information for supporting in business operation processes
  • Involve in the technology project life cycles from project inception to project closure
  • Interface with upstream data providers including Global Wealth Management and external LOB technology and business teams to understand and mitigate impacts from upstream data changes
  • Assist with production support on the analytical aspect throughout the Finance reporting cycles
  • Able to demonstrate experience with an understanding of a formal testing methodology
  • Disseminate requirements to technology team members and collaborate with developers to address defects
  • Manage the work load and provide guidance to junior member(s)
  • Ability to provide verbal and written status reports to direct manager and other senior managers at various levels
  • Must have 5+ years of relevant experience in technical and business analysis
  • Excellent oral and written communication skills and the ability to clearly articulate to all project members and stakeholders
  • Working experience in business and functional requirement gathering and documentation
  • Develop technical functional requirement applying UML methodology
  • Experience working with HP Quality Center or ALM
  • Working experience in creating requirement matrix and applying QA best practices to all testing phases
  • Production and management/maintenance of QA testing deliverables which includes test strategies, test plans, and test scripts
  • Business knowledge of financial industry a must and finance knowledge a plus
  • Ability to quickly assess the impact of an issue and communicate to key partners and facilitate a solution
  • Working experience of SQL and Oracle databases; able to query and effectively analyze data
  • Knowledge of web based application such as Java or J2EE
  • Must be able to own and see tasks through to completion with minimal or without guidance
  • Bachelors Degree in Computer Science or relevant experience
28

Traded Risk Data Business Analyst Resume Examples & Samples

  • Responsible for sourcing and distributing data on a timely manner to support the model development and model validation teams
  • Responsible for identifying gaps and poor quality data and enriching data when gaps are identified
  • Meeting GRA data requirements and helping resolve data issues on regulatory deliverables
  • Direct and guide teams to share best practices and tostandardise data processes globally
  • Ensure all solutions are globally consistent and aligned to the long term strategic vision
  • Prioritisation of resource and projects
  • Interpret data, analyse results using statistical techniques and provide ongoing reports
  • Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality - Filter and "clean" data
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyse, and interpret trends or patterns in complex data sets
  • Demonstrated ability to work with the WMR business collaboratively in reaching decisions and solution
  • Previous experience in risk management for market risk and/or traded credit risk
  • Previous exposure to large projects involving technical IT considerations
  • Strong technical knowledge of traded risk and regulations
  • Ability to work across all levels of the organisation to understand cross-functional linkages and interdependencies, as well as the implication of risk at both a strategic level and at the business unit level
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with databases (SQL etc), programming (XML, Javascript, Python, C# or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analysing large datasets (R, Matlab, SAS etc)
  • Excellent relationship management and diplomacy skills, ability to communicate, influence and negotiate effectively
  • Skilled decision maker, able to stand firm and show necessary flexibility where required
  • Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy
29

Market Data Business Analyst Resume Examples & Samples

  • Assist the Business in managing their Market Data spend
  • Manage and foster relationships with market data vendors and internal Business and Technology professionals consuming market data products
  • Act as an adviser to deliver the exact products which can fulfill each individual business requirements at the best possible price
  • Work closely with the Market Data Engineering and Administration teams
  • Evaluate new market data products and contents for strategic projects, and look for ways to leverage vendors and partners to enhance existing services
  • Manage and deliver cost and data usage optimization projects
  • Conduct contract renewal analysis
30

Ccar Data Business Analyst Resume Examples & Samples

  • Working with and across CCAR workstreams to deliver data solutions, and solicit requirements
  • Working with enterprise data teams (RFDAR, DI&C) to leverage their services and holding them accountable
  • Working with the CCAR data team to plan and execute
  • Working with CCAR workstreams in relation to data quality, controls and adherence to policies
31

Market Data Business Analyst Resume Examples & Samples

  • Organize and lead ongoing, timely and relevant communication with key clients regarding
  • In-depth knowledge and experience of Market Data products and providers
  • Deep understanding of Market Data commercial policies from Exchanges, Vendors and Brokers
  • Understanding of the main business areas supported and their overall requirements – Corporate and Investment Bank, Asset Management and Custody
  • Vendor relation and vendor negotiation – proven track record in dealing with Exchanges and market data Vendors
  • Project management, Communication and presentation skills
  • Advanced user of collaboration tools (SharePoint etc.) and analytical tools (Excel, FITS or MDS databases, Powerpoint and Word)
  • Process improvement and productivity oriented
  • Degree or similar qualifications
32

Securities Reference Data Business Analyst Resume Examples & Samples

  • Securities Reference data Products knowledge preferably across all asset classes including Fixed income, Cash and Listed Derivatives
  • Understanding of cross-referencing across various sources including exchange and vendors such as Bloomberg, Reuters
  • Good Problem solving skills
  • Technically hands on SQL knowledge Sybase, DB2
  • Programming knowledge will be a plus
33

Market Data Business Analyst Resume Examples & Samples

  • Must have hands-on market data trading floor experience
  • Must have strong working knowledge of markets, asset classes and their content requirements (e.g. FX, Fixed Income, Equities, Corporate Finance)
  • Must have thorough understanding of trading and non-trading floor systems, including, but not limited to Bloomberg, Eikon, Dealing 3000, Factset, SNL, desktop applications
  • Must have strong understanding of reference data, e.g., Bloomberg Bulk Data License, Reuters Datascope
  • Must have strong understanding of reference data, inc., fundamental data, index constituent and weightings data, end-of-day pricing data, ratings agency data, and the primary fundamental and quantitative database applications that use this data
  • Must have good understanding of intellectual property and user provisions as it relates to data usage rights
  • Must have a basic understanding of vendor market data digital feed offerings including TREP/Elektron, Bloomberg B-Pipe and Inter Dealer Broker Feeds
  • Must have excellent problem solving skills
  • Must be able to work as a team member & independently
  • Must be able to work under pressure and in a fast paced environment
  • Should have general accounting knowledge
34

Data & Business Analyst Resume Examples & Samples

  • Identify parts orders that are currently scheduled for future delivery that can be pulled in for early shipment to customers. Distribute this information to management and procurement specialist on a regular basis for action and follow up with vendors
  • Identify parts orders that are currently scheduled for future delivery with customer requirements. Provide this information to management and procurement specialists in order to push out scheduled deliveries
  • Run and distribute required departmental reports
  • Using a variety of sources, provide information regarding competitive sources of product availability and related pricing. Provide this information to management and procurement specialists for analysis to our suppliers
  • Assemble and analyze all pertinent data elements (usage history, lead-times, seasonality, market trends, aircraft platform analysis, inventory, etc.) to maintain established operational readiness metrics
  • Provide management with summaries of individual OEM delivery and quality performance
  • Assist management and procurement specialists in special projects as required
  • Review excess & obsolete material requirements and take appropriate action to reduce inventory
  • Communicate the requirement of operational procedures and instructions to subordinates and monitor their adherence so that work is carried out in a controlled manner
  • Contribute to the identification of opportunities for continuous improvement of section systems, processes and practices taking into account ‘international best practice’, improvement of business processes, cost reduction and productivity improvement
  • Support planning activities in price analysis in order to ensure accuracy and profitability
  • Conduct statistical analysis and forecasting to support the spare parts planning process
  • Analyze historical and current market prices and data in order to support the pricing decision presented to clients
  • Prepare departmental MIS statements and reports timely and accurately to meet company and department requirements, policies, and standards
  • Perform other qualified duties as assigned
  • Excellent decision making, listening, and communication skills
  • Demonstrated ability to work with diverse teams
  • Ability to work independently and multitask
  • Proven track record for working in high energy, extremely dynamic environment
  • Proven vendor relationship management skills
  • Creative problem solving skills
  • Bachelor Degree in a Business, Engineering or Quantitative discipline
  • Two (2) or more years of relevant experience working in the Aerospace Industry preferred
  • Previous experience with data gathering and analysis
35

Medical Data Business Analyst Resume Examples & Samples

  • Utilize Data tables, Create logical Source to target mappings, Document Process and Data flow diagrams
  • Technical writing and business process understanding is key and must be able to complete SDLC Documentation requirements like Business Requirements, Functional Requirements, Traceability Matrix, etc
  • Stack rank user requirements and propose optimal solutions and sequencing
  • Reviews the functionality of business systems to ensure that it continues to satisfy users varying needs
  • Quickly understand the business complexity and data challenges of customer
  • Identify customer’s data opportunity areas and recommend areas of improvement according to business functionality need
  • Make recommendations for ranking requirements and drive prioritization
  • Utilize diverse data platforms for Master Data, CRM or Reporting like Business Objects, Tableau, Qlik, Oracle, SQL, Veeva CRM, or MDM Application like Veeva Network or Informatica Siperian
  • Experience in gathering requirements and business analysis
  • Requires an in-depth knowledge of the Software development Life Cycle , Waterfall and Agile methodologies
  • Candidate must have experience in direct support of Bio/Pharma field force, ie. Sales teams, Thought Leader Liaisons, Medical Science Liaisons, etc
  • MS Outlook, Lync, Word, PowerPoint, Excel, Visio, and Project knowledge desired
  • Excellent written and verbal communication skills; Ability to communicate clearly and correctly
36

Marketing Data Business Analyst Resume Examples & Samples

  • Ensure solution delivery meets business need and expectation through business requirement gathering
  • Gather and validate business needs to translate into requirements for technical team
  • Work with technical teams to develop technical requirements and solutions
  • Work with project manager to provide status updates and resolve scope issues
  • Manages ad hoc inquiries from the marketing team related to production data
  • Have 5-7 years prior experience working as a business analyst
  • Have extensive experience with data integration projects involving eCRM
  • Have strong familiarity with data mapping, data flow diagrams and data transformation rules
  • Have strong analytical and creative problem solving skills
  • Be process oriented (i.e. change control, requirement gathering, process flow diagramming, testing, etc)
  • Have excellent verbal and written communication skills
  • Be capable of working on multiple projects at once
  • Be able to work well on matrixed teams
37

Equities Market Data Business Analyst Resume Examples & Samples

  • Experience in Q programming
  • Strong in Java Programming as well
  • Experience in big data analytics stack - KDB+, Hadoop/HBase
  • Strong Experience in a Unix/Linux ecosystem
  • Strong academic record, ideally with a degree in computer science, engineering, mathematics or other analytical background
38

AVP, Senior Tech Data / Business Analyst Resume Examples & Samples

  • 5+ years of working in various data management initiatives with 2+ years in the Financial Industry
  • Extremely strong Data Analytical skills along with an ability to work with numerous business and technology teams to gather requirements, document them and convert them to functional requirements
  • Ability to work in an agile environment
  • Experience working with all aspects of the SDLC workflow
  • Strong SQL skills with a background in writing complex queries using Oracle and Netezza
  • Should be able to participate in the testing phase and in writing test scripts
  • Strong pattern recognition, correlation skills and a good understanding of trading terminologies
  • Experience using reporting/analytical tools like Qlikview, Microstrategy, Spotfire, BO, Xcelsius among others
  • Strong experience working with the Microsoft Suite of tools
  • Experience with database application development (Stored Procedures, PL/SQL)
  • A good understanding of Data Warehouses, Marts and Cubes
  • Understanding the ETL process and usage of tools like Ab Initio, Informatica or Talend
  • Understanding and knowhow of Unix and shell scripting
39

Data / Senior Data, Business Analyst Resume Examples & Samples

  • As a Data Business Analyst in the IT Commercial Data and Analytics team, must be able elicit user requirements and translate them into functional requirements
  • Develop Requirements Traceability Matrices for projects to ensure that all approved requirements are delivered and track every requirement is linked back to a business objective
  • Utilize data tables, create logical source-to-target mappings, illustrate processes, data and Information flows. diagrams
  • Apply working knowledge of Master Data Management (MDM) control and data governance concepts, data and information architecture, and system landscape to daily activities
  • Deliver technical writing artifacts per Biogen SDLC procedure. Recommend and drive prioritization of requirements
  • Co-own Change Management with business partners from a system use perspective; identify and address business process touchpoints such as business continuity, data governance, data control, analytics and reporting
  • Lead user acceptance testing with Testing Center of Excellence
  • Create mock up data scenarios or reports in partnership with IT developers and customers to meet user and functional requirements
  • Apply best practices from IT Project Management methodologies- Agile, Waterfall or hybrids
  • LI-EU3
  • 3-5yrs (Analyst) / 5-8yrs (Sr. Analyst) Business Analysis experience on Data Analytics Projects in Biotech or Pharmaceutical industry is required
  • CBAP or CCBA certification is preferred; Lean Six-Sigma certification is desirable
  • Experience working with business systems (i.e. Veeva CRM, Salesforce, reporting tools, etc.)
  • Understanding of object-oriented programming concepts
  • Must be self-motivated, team player, and well organized
  • Demonstrated successes in working with cross-functional resource teams
  • Ability to prioritize multiple assignments and/or tasks
  • Must be able to effectively communicate technical components of an initiative in both technical and business terms
  • Proven oral and written communication skills to a variety of audiences
  • Strong investigative, analytical and problem solving skills
40

Data Business Analyst Resume Examples & Samples

  • Drive the analysis and identification of GAPs for potential projects in LAC
  • Plan (together with Business Partner) and determine resource allocations to support data work streams, as well as budgeting
  • Manage the relationship between the various governance bodies for data and globally, linking the specific requirements of the region to our global standards and Symphony process where possible
  • Ensure the successful implementation of SBM global processes and complementary local processes as required
  • Provide direct support to Business Partner to produce, manage and execute detailed project plan for process and ensure compliance with entry & exit of phases
  • Deliver Analyze and Design workshops to ensure full market understanding of SBM, APO and GAP identification
  • Manage demand with Application factories if required
  • Ensure strict adherence to governance rules for the project including sign off for design by the Governance Directors
  • Engage stakeholders to understand the proposed system changes and what they mean to the business: process changes, alignment to global initiatives, changes in workloads
  • Support the SSC with relevant task split updates and process documentation where applicable
  • Support the delivery of change management plan across larger projects
  • Provide training as required as part of a system change implementation
  • Complete documentation of data processes
  • Degree level with strong academic record
  • Material, Vendor and Customer data expertise. BW/APO knowledge a plus
  • Strong understanding of Diageo front and back end business processes (OTC, RTR, PTP and Manufacturing)
  • Experience with SAP data maintenance, migration and conversion tools and concepts
  • Awareness of Diageo global processes and policies
  • Fluent in English and Spanish or Portuguese
  • Implementation of a shared services solution into a market (including SAP and global processes) and/or managing in market (on the receiving end) the implementation of a shared services solution
  • Data Lead role
  • Managing SAP data in a market or in a shared service centre
  • Business Planning & Analysis
  • Managing Risk
  • Business Process Improvement
  • Project and Change Management
  • Technical abilities to deliver data migration tools
41

Data Business Analyst Resume Examples & Samples

  • Developing artefacts and processes to assist the LoBs in analyzing their application portfolios and assessing opportunities for cloud migration
  • Defining and evolving the business case model to estimate the costs and benefits of cloud migration
  • Working with LoB representatives to construct individual and aggregate cloud opportunity assessments and migration business cases
  • Defining the framework for aggregating existing reference, financial and operational data to support portfolio analysis, opportunity assessment, business case development and benefits realization monitoring
  • Identifying gaps in existing reference, financial and operational data related to the above, and driving tactical and strategic resolutions to these gaps
  • Defining the process for monitoring and reporting on actual benefits realized, and identifying the root causes of discrepancies between expected and actual benefits post-migration
  • Experience working within a large global organization
  • Extensive experience in Technology Infrastructure and/or Application Development
  • Experience developing business cases and defining data requirements
  • Experience delivering complex cross-discipline technology solutions
  • Experience of working in a matrix management model, utilizing virtual teams
  • Strong negotiating skills, comfortable executing against recommendations & plans by overcoming barriers and resistance
  • Ability to forge strong relationships and build a wide network throughout the firm
42

Data & Business Analyst Resume Examples & Samples

  • Ability to work with large volumes of data and present results in a clean, concise format understood by end users
  • Excellent analytical and problem-solving skills with the ability to identify data patterns
  • Must be capable of working in a fast-paced environment while maintaining stellar quality work and consistently meeting deadlines
  • Strong motivation to learn new reporting and application development skills (.NET)
  • Must possess superior written, oral, and interpersonal communication skills with the ability to interact with personnel at all levels of the organization; customer service skills and strong organizational skills are also a must
  • Advanced knowledge of Microsoft Excel 2010-2016 including the use of Lookups, Macros, and VBA Functions and Routines
  • Proficient with VBA, specifically within Microsoft Excel, and/or VB 6.0 coding and best practices
  • Ability to read, troubleshoot, and improve existing VBA code
  • Proven history of creating and analyzing reports
  • Experience with finding process improvements to streamline workflows
  • Bachelor’s degree in computer science, information systems, or a related field from an accredited college or university
  • 1-2 years of data analysis and reporting using Microsoft Office
  • Basic knowledge of SQL Server, Stored Procedures, and Views
  • Familiarity with Microsoft Office Automation and COM Add-ins
43

Project Team Data Business Analyst Resume Examples & Samples

  • Providing strong leadership to enable successful project delivery; managing project tasks and activities to a successful outcome
  • Maintenance of Risk, Issue and Action Items tracker
  • Project planning
  • Updating project artifacts with approved changes; requirements traceability and maintenance
  • Working closely, and in collaboration with, developers and production support analysts; successful working with a global and diverse range of people and systems across multiple business and technology units
  • 5-8 years’ experience in a technology role within Banking / Capital Markets
  • Minimum 2-3 years’ experience as a Business Analyst and / or Data Analyst
  • Experience with SDLCs
  • Good understanding of market data, order management, trade flows
  • Planned / organized approach to work; ability to establish a course of action to accomplish specific goals
  • Determined & resilient, with a lot of energy and enthusiasm, and a positive and optimistic outlook
  • Knowledge of Trade Surveillance; a keen interest in Trade Surveillance, Capital Markets, and Data Analytics
  • Knowledge of FX and Derivatives asset classes
  • Ability to build strong relationships and partnerships with clients and upstream systems owners / analysts
44

Market Data Business Analyst Resume Examples & Samples

  • Working with EMEA BA colleagues to ensure coverage of EMEA Market Data within the business
  • Review of product/service request from business to ensure suitability and correct inventory reflection/allocation
  • Appreciation of technical delivery systems used for Market Data, both real time and non-real time
  • Product knowledge of the major Market Data vendors
  • Awareness of possible compliance issues that may arise by incorrect use or licensing of Market Data
  • Technical abilities: MS Suite inch Excel, Access/SQL, SharePoint
45

Senior Data Business Analyst Resume Examples & Samples

  • 6+ years of business analytical experience required
  • B.S./B.A. degree required. Degree in Math/Engineering, Statistics, Computer Science, Business/Finance preferable. Advanced degree (M.S., MBA) a plus
  • Advanced knowledge of SQL, SAS, Enterprise Miner, Enterprise Guide, SAP Business Objects, Oracle, and Hyperion
  • Database & query experience
  • Excellent teamwork skills
  • Ability to communicate effectively with all levels of internal/external customers
  • Ability to identify process improvement opportunities and develop and execute action plans is preferred
  • Work well under pressure with time constraints
46

Big Data Business Analyst Resume Examples & Samples

  • This is a Business Analyst position to support the rollout of the Marketing Sales and Service Analytics Platform and related projects
  • 5+ years of Hadoop Architecture, Design, and Development
  • Marketing and Sales background
47

Data Business Analyst Resume Examples & Samples

  • Requirement Gathering
  • Interacting with upper management-Liasion between developers and business users
  • Creating thorough BRD's and FRD's
48

Market Data Business Analyst Resume Examples & Samples

  • Ensuring the Market Data inventory is constantly up to date
  • Ensuring the proper licenses are in place, and their cost duly communicated and approved
  • Provisioning the access to Market Data systems (incl leavers management)
  • Ensuring Market Data invoices are accurate and timely paid and allocated
  • Providing guidance to users and management on Market Data usage terms and conditions
  • End user support with access or permissioning issues
  • Usage and Costs monitoring/reporting to management
  • Sound knowledge of data usage rules and market data compliance
  • Proficiency with Market Data inventory tools
  • Significant experience in Market Data vendors management
  • Excellent documentation and communication skills
  • Analytical, detail-oriented and self-motivated
  • Risk, Security and Cost awareness
49

Data Business Analyst Resume Examples & Samples

  • Provide financial analysis and review of data for executive management
  • Create and execute complex queries focused on extracting and evaluating data
  • Create visualizations of data for business user review, i.e. bar charts, line graphs etc to provide meaningful interpretations for action
  • Bachelor's degree or equivalent required
  • Excellent analytical, written, and verbal communication and interpersonal skills required. Attention to detail, time management and the ability to manage multiple projects is required. Effective customer service, time management and organizational skills necessary. Commitment to quality and collaboration in a team based environment
  • Microsoft Office, including advanced MS Excel is required
  • Knowledge of SQL, Python and SAS preferred
  • Minimum 2+ years of experience preferred working with Information and Data in a business environment
50

Data Business Analyst Resume Examples & Samples

  • Data definitions
  • Data derivations and transformation
  • Data quality rules and their enforcement
  • Data-related communications
  • Data element rationalisation
  • Contributing to data-related policies and procedures
  • Understanding the downstream uses of their data – and how proposed changes impact those uses
  • Aligning to any existing Zurich standard data definitions
  • Collate and maintain a glossary of business definitions relating to Zurich’s data landscape
  • Establish owners of business definitions and data quality issues within the business
  • Work with projects to gather definitions, data quality rules and business rules and ensure glossary is maintained
  • Manage and maintain reference data for DAA
  • Documentation of business rules across the landscape
  • Ideally Bachelors degree (or equivalent) in Computer Science, Engineering, Information Technology
  • Extensive experience in relevant field
51

Senior Data / Business Analyst Resume Examples & Samples

  • Writes detailed technical and business specifications, program functions, and steps required to develop or modify data files or systems
  • Ability to understand relational database concepts and client-server concepts
  • Familiarity with TSO, File-Aid, and reviewing Flat files
  • Exposure and/or familiarity with various IT platforms and languages such as Informatica Power center, Java, DB2
52

Master Data Business Analyst Resume Examples & Samples

  • Support data analysis efforts related to primary commercial and service customer accounts
  • Work on data corrections that are complex in nature where judgement is required in resolving problems and making end to end process recommendations or improvements
  • Ownership of data quality improvement initiatives driven by global metrics in customer, vendor, product and finance domains
  • Analyzing processes and showing innovation in business process re-engineering related to customer master creations/changes/in-activations and required data updates end to end
  • Document and train participants along process flow to select identified correct account
  • Partner and interface with other departments to ensure the integrity of data
  • Implement audits to ensure data accuracy is sustained over time
  • Perform responsibilities as directed, achieving desired results within expected time frames and with a high degree of quality and professionalism
  • Performs other duties and projects as may be assigned
  • Advanced Excel skills required
  • Experience in SAP required
  • Experience in Informatica Business Partner Data Hub, Salesforce and/or CPQ tooling preferred
  • Qlikview or other data quality reporting experience preferred
  • Lean methodologies
  • Experience with value stream mapping
  • 3-5 years related experience or BA preferred
53

Project Team Data-business Analyst Resume Examples & Samples

  • Working with senior Compliance internal clients across APAC and Japan
  • Thorough analysis and documentation, and knowledge building of trading system flows and data flows
  • Leading detailed data acquisition, analysis and mapping work (including trade, market and reference data)
  • Running meetings, communicating meeting agenda and capture of meeting minutes
  • Coordinating and documenting requirements gathering, and producing high quality BRD / FRD documentation
  • Generation of reports and communications (status reports, project communications, meeting minutes)
  • Gathering data to create project schedule management plan
  • Creating variance reports for tracking project estimates to actual data
  • Ensuring project documents, including the project charter, communication plan and risk management plan, are updated
  • Facilitating testing and UAT
  • Good working knowledge of Capital Markets, for example trading, the trade lifecycle, exchanges, market participants, etc. across multiple asset classes
  • Knowledge and understanding of Equities and Fixed Income asset classes
  • Excellent written and oral communication skills and ability to express ideas to people from various business and technology backgrounds, in multiple countries – this is a client facing role
  • Outstanding attention to detail, and determination to design robust and complete solutions
  • Experience working on multiple simultaneous project related tasks/activities
  • Ability to work under pressure in a fast paced environment, and a proven track record of successfully delivery on several projects and BAU investigations in parallel
  • Experience working with Agile project life cycles
  • Working knowledge of Trade Surveillance, Market Abuse, Insider Dealing, and associated regional / global regulations
54

Senior Data & Business Analyst Resume Examples & Samples

  • Work with business teams to understand and document their analytical needs, including identifying critical metrics and KPIs&#8217
  • Build an infrastructure to support data driven decision making and drive the business to become self-service data driven
  • Build and deliver actionable insights and present to relevant decision makers
  • Develop rich interactive visualizations integrating various reporting components from multiple data sources
  • Use SQL and other technologies to pull data from different backend systems, produce meaningful visualizations to help drive business decisions
  • Perform data analytics, data quality analysis and data manipulation on large datasets using a variety of tools to transform data into actionable insights
55

Data Business Analyst Resume Examples & Samples

  • Uses good judgment and able to make decisions independently
  • Prepares training templates, materials and sets-up training session prior to class (e.g. material, meet-me-bridge, screen share)
  • Documents and evaluates trainers’ performance
  • Identifies updates needed in training program and collaborates with trainer for a solution to continually improve programs
  • 3+ years of Business Systems Analysis experience
  • Demonstrates professional demeanor
  • Proficient PC skills (Excel, Word, Power Point, etc.)
  • Awareness of the business and IT strategy
  • Training Focused Description
56

Product Data Business Analyst Resume Examples & Samples

  • Education Required: Bachelor’s Degree in Business Administration
  • Experience Required: 2>5 years
  • Travel Required: 10 - 24 %
  • SAP or other ERP Knowledge
  • Process Understanding
  • Process Improvement Vision
  • Profound understanding of site’s business processes
  • Ability to develop product requirements based on input gathered from a variety of sources including analysis results and feedback from the user community
  • Ability to develop test conditions and expected results based on the application requirements
  • Ability to review project deliverables for completeness and quality, and compliance with established project standards
  • Intercultural Understanding
  • Verbal and written Communication Skills
  • Training skills
  • Very good English level
57

Big Data Business Analyst Resume Examples & Samples

  • Competitive salary with extensive benefits on offer
  • Understand business requirements and able to translate the functional or data requirements to technical requirements
  • Keep up to date with latest technologies (such as cloud) and be able to show the advantages of these technologies not just within the team but also to the Senior Leadership
  • Ability or experience working on multiple systems such as Hive, PIG, Hadoop, SQL, Data Lakes, Apache
  • Work closely with multiple teams and senior management ensuring that stakeholder engagement is kept to exceptional levels
  • Ensure that all deliverables produced by third parties are completed to an appropriate level of quality so that the delivered solutions are fit for purpose and can be efficiently supported
  • Take responsibility for investigative work in the context of new system ideas, to determine business requirements and specify effective solutions
  • Work with the customer to methodically investigate, analyse, review, define and document requirements, functions and processes, identifying solution options and giving high-level recommendations
  • Undertake analysis work ensuring reuse where possible, and that design principles are adhered to
  • Provide effort estimates required to develop solution
  • Create and updates application and hand-over documentation
  • Support UAT, and handing over implementations with training, documentation and initial support
  • Able to write technical data analysis or queries
  • Experience in working with Data Lakes and delivering technical specifications in a ever changing, fast moving environment
  • Experience in delivering workshops to multiple stakeholders within the business from managers to director level
  • Experience in providing high level and detailed functional requirements specifications
  • Experience in working to tight schedules and delivering projects on time and budget
  • Experience in delivering projects within a matrixed organisation whilst being able to communicate progress to senior leadership when required
  • Knowledge or hands on experience in more than one of the following Opensource technical skills would be a distinct advantage
  • Hadoop
  • Big Data
  • Apache
  • SAP Business Intelligence
  • Microsoft BI
58

Data / Business Analyst Internship Resume Examples & Samples

  • Analyse and interpret large, complex data sets deriving from multiple systems
  • Coordinate with internal and external stakeholders to improve the quality of data provided
  • Create and enhance dashboards and reports to provide insight into the overall system performance (e.g. cost, return on investment, quality indicators etc.)
  • Provide recommendations based upon analysis
  • Contribute to the continuous improvement of the overall service
  • Advances Excel
  • Statistics analysis
  • Analytical & Financial indicators follow up
  • Very good communication
  • Previous experience in a multicultural environment would be a plus
59

Big Data & Business Analyst Supplies Resume Examples & Samples

  • University or Bachelor's degree preferred
  • Typically 1-3 years of professional experience in a related field
  • Data Analyis
  • Supplies market knowhow
  • CEMA understanding
  • Knowledge of promotional marketing processes and practices
60

Master Data-business Analyst Resume Examples & Samples

  • Deep understanding of how Master Data functions impact the upstream/downstream areas of the business. Not limited to but including; distribution, billing, commissions, royalties,, and revenue reporting and other internal & external areas
  • Participate in system blueprinting and realization of business system enhancements and new product /marketing initiatives
  • Participate in projects at the department/intra-department level. (e.g. regression testing for SAP enhancement cycles)
  • Partner with team leads and functional experts to identify and implement solutions to hot issues and problematic processes with the department
  • Act as lead on training documentation/reports/presentations across Global Master Data. For example; Standard Operation Procedures, department training materials, process overviews, metric reporting, and SAP ticket submission
  • Drive specifications for and analysis of reports generated from SAP and Business Warehouse data, using Access, Excel and InfoView/Business Objects
  • Act as product & pricing operational expert for assigned businesses and associated bolt-on systems
  • Attend meetings and define master data impacts. Perform ad-hoc projects, such as mass updates and periodic sampling audits
  • Four-year college degree preferred. MBA is a plus. Candidates with 12+ years progressive professional development after high school including 5+ years related work experience with exposure to a variety of business situations will be considered
  • Demonstrated project leadership skills on cross-operational/multi-dimensional teams; proven ability to manage multiple projects with competing demands for limited resources
  • Proven decision-making experience
  • Ability to manage information and identify trends and performance expectations based on operational considerations
  • Identifies and finds solutions to potential problems and issues which may be systemic to the organization
  • Exemplary analytical skills including experience presenting analysis and recommendations to management
  • Good industry and customer knowledge to anticipate requirements and enhance reporting efficiencies proactively
  • Outstanding oral and written communication skills. Ability to take a conceptual framework and translate it into operational context and application. Experience in presenting in front of small and large audiences
  • Strong Print, CD, FindLaw, and WEG product and pricing background is preferred
  • Proficient in the use of Excel, Access, PowerPoint, and Project Management software
  • At least 1 year of experience with SAP Master Data required
  • Highly motivated with ability to drive results
  • Demonstrated ability to motivate and influence others within the department
  • Escalates appropriate issues to management
  • Demonstrates effective use of discretion
  • Foreign language skills in Spanish, Portuguese preferred
61

Technical Big Data Business Analyst Resume Examples & Samples

  • Combine knowledge of what the business wants with knowledge of how the systems are built and used to create functional designs across applications
  • This high level functional design is used by BAs of all levels within the group as a basis for their low-level functional design
  • 5+ Years of professional experience as a Business Analyst working with business and IT teams to analyze and capture requirements
  • Demonstrated experience in all phases of the Software Development Life Cycle (SDLC)
  • Proven ability to work with a project team to develop a strategy, technical solution, and ultimately to implement high quality technical solutions
  • Demonstrated ability prioritizing and managing development and implementation of enhancements/changes to multiple applications
  • Proven ability overseeing installations and Release Management including the final production acceptance review and signoff
  • College degree or specialized training / equivalent work experience
  • Data analysis skills such as SQL or prior experience in a database environment is a strong plus
62

Financial Data & Business Analyst Resume Examples & Samples

  • Coordinates and prepares reports Microsoft Excel/ PowerPoint for various Management Committees with a focus on accuracy, consistency and clarity
  • Ensures accuracy of data in the data source (through research and remediation where necessary)
  • Ensure accuracy of reports and analysis by testing data reliability and validity
  • Identify the best analytical approach and methodology, and ways to make insights and reports easily digestible, actionable, and impactful
  • Manipulate datasets in MS Excel using vlookups and pivot tables to normalize and cleanse data make it ready for reporting
  • Respond in a timely, professional, and accurate manner to all ad-hoc requests from field and Senior Management
  • Supports the implementation of an enterprise-wide performance management reporting system across all lines of business and functional units
  • Prepare monthly global executive dashboard (comprehensive IT reports including KPIs, SLAs, project portfolio etc.) with drill down capabilities
  • Strive to automate reporting processes whenever possible
  • 4+ years experience with data reporting and analytics
  • Finance experience preferred
  • Analytical abilities / financial acumen / problem solving
  • Must be able to communicate effectively with Technology, Business Lines, and Senior Leadership
  • Experience with WFM is a plus but not required
63

Client Reference Data-business Analyst Resume Examples & Samples

  • Liaise with business unit sponsors, stakeholders and IT partners on a regular basis to ensure communication of status and issues, including project and program reporting
  • Ensure proper communication of business requirements across stakeholders to ensure solutions are consistent with business unit standards
  • Identify and mitigate project risks
  • Look for opportunities to promote the use of enterprise referential data
  • Maintain extensive knowledge of all the business unit?s applications and the applications use of enterprise reference data
  • Ensure future applications reuse existing functionality
  • Create and document test scripts and use cases for new releases
  • Co-ordinate User Acceptance Testing
  • Ability to multitask and operate in a fast-paced environment
  • Good understanding of SQL and XML an asset
  • Ability to multi-task and prioritize tasks according to criticality
  • Management, clients, and other departments
  • Experience with JIRA an asset
64

Salesforce Data-business Analyst Resume Examples & Samples

  • Perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets
  • Data management, analysis and manipulation
  • Batch/bulk import/exports and updates of data
  • Regularly perform data de-duping and cleanup procedures
  • Audit, uncover and resolve data integrity issues
  • Deliver training and communication to business users
  • Develop reports, dashboards, and processes to support business operations
  • Define data requirements and gather and validate information, using judgment and statistical tests
  • Utilize programming and analytical tools including SAS or SQL, Oracle or similar relational database tool to formulate models and/or extract insights
  • Identify and troubleshoot data integration and integrity issues in cooperation with the appropriate CBRE business units; Design work flows and procedures
  • Well versed with Third party tools like Data Loader, Demand Tools, DBAmp, Informatica etc
  • Undergraduate degree in computer science, math, engineering or related field
  • Master degreed applicants highly desired
  • Passion for addressing the most important business questions via high volume, high velocity data
  • Adept at and experienced with balancing both the business hat and the technical data hat
  • Minimum 3 years of professional experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL
  • 2-3 years technical experience in software development, machine learning or statistical analysis, data engineering and data visualization related work
65

SAP Master Data Business Analyst Resume Examples & Samples

  • Participate in the identification of process improvement opportunities, provide input and recommendations, and conduct solution implementations
  • Loading master data elements using BDC, LSMW, and Winshuttle which include but are not limited to
  • Understanding of the software development life cycle (SDLC)
  • 3-7 years of working knowledge cleansing, manipulating, and loading master data and transactional data into SAP
  • Bachelor's or Master's degree in computer science, business, or a related area and/or 3-7 years of SAP focused experience in industry, or consulting
  • Additionally this person should be able to quickly come up to speed on the current configuration and customizations (development) in the American Outdoor Brands SAP system, develop and evaluate alternative solutions to business issues, and recommend the best solution based on technical and business impacts
  • Excellent communication skills are a must for this role, as well as the ability to proactively identify risks and propose mitigation plans for same
  • Travel to other American Outdoor Brands facilities, conferences, seminars, training, etc. may be required. During integration projects, this travel may be as high as 50% to 75%, depending on the phase of the project
  • Good command of the English language in both verbal and written skills
  • Exceptional skills in MS Office Suite -- Word, Excel, Outlook, Power Point
  • Excellent organizational skills; Strong interpersonal and communication skills
  • Must be detail oriented and able to work independently to meet sales goals
66

Big Data / Business Analyst Resume Examples & Samples

  • Gather and analyze business requirements
  • Architect/Design Data Warehouse infrastructure and solutions
  • Develop technical specifications and design documents
  • Develop, enhance, integrate Data Warehouses/Data Marts and Business Intelligence Solutions
  • Test Data Warehouses/Data Marts
  • Deploy and Maintain Data Warehouses/Data Marts
  • 2+ years experience with Data Warehouse technologies
  • 2+ years Unix and Windows experience
  • 2+ years gathering and analyzing business requirements
67

Real Time Market Data Business Analyst Resume Examples & Samples

  • Produce Scope/Vision documents
  • Produce Requirements Specifications
  • Document Business Flows
  • Provide Input to Technical Solution Design (working with Vendors and/or other teams)
  • Preparation for Testing (advising our QA team)
  • Organise and Co-ordinate Test Execution (UAT)
  • Co-ordinate End Client Interaction
  • Operational 2nd line Support
  • A proven ability to learn new concepts quickly
  • Experience of working within the project lifecycle
  • Excellent interpersonal skills and an ability to manage relationships effectively
  • Must be self-motivated and have a desire to engage in process improvement
  • 1st class Technology Degree in Computer Science or Computer Engineering or similar
  • Demonstrable experience as a Technology Business Analyst
  • Ideal candidate will also have experience / exposure to Capital Markets (ideally another exchange / venue or information vendor or trading firm)
68

Market Data Business Analyst Resume Examples & Samples

  • Work with businesses, procurement and legal to renew contracts and right size consumption (working with business to understand requirements and ensure we are providing most appropriate service, working to remove any duplication)
  • Work with specific businesses on their product and service requirements, eliminating duplication and reducing overall spend by right-sizing user community
  • Work with Global colleagues across the Market Data team to effectively execute on global and regional initiatives
  • Review product and service requests from business to ensure suitability and correct inventory reflection and allocation
  • Participate in various projects such as Non-real time data rationalization, Market data Desktop review process amongst others
69

Arity Lead Data Business Analyst Resume Examples & Samples

  • Work with business users to understand their business functions and processes in order to help them define analytic and reporting requirements, including data and metadata requirements for their systems that are complete and unambiguous
  • Lead, plan and consult on information gathering sessions
  • Construct and execute complex SQL queries to verify business data rules and fit-for-use status of data under analysis
  • Analyze and determine scope and volumetric parameters that dictate data profiling activity
  • Create and maintain complex logical (conceptual, relational, subject-level and dimensional) data models and other metadata deliverables at multiple levels of detail and functionality across multiple business areas of responsibility
  • Function as subject matter expert (SME) for data modeling concepts and data modeling tool capabilities
  • Identify and incorporate required database performance objectives into established physical data models as part of data analysis and related specification process across multiple business areas of responsibility
  • Audit the accuracy and currency between physical and logical data models as reflected in the metadata repository across all business areas of responsibility
  • Maintains understanding of software industry and provides direction for future solutions
  • Review and validate accuracy of other's estimates
  • Take a lead role in the development of an approach to data management across all areas of the business
  • Develop tools and processes required to help drive data management processes
  • Effectively state the impact of pending projects on existing structures across multiple business areas
  • Lead discussions to establish common definitions for data across all business functions in their areas of responsibility
  • Assist with ideation, project initiation or planning for projects of high complexity
  • Create the technical requirements for the most complex projects by reviewing, understanding, and analyzing business and functional requirements
  • Guide and direct the design deliverables of other systems analysts and developers
  • Ability to work in Warehouse environment
  • Participate in enterprise driven roadmap activities around database, BI and reporting
  • Create roadmap after understanding business requirements at large and enterprise roadmaps (AFT)
  • AWS experience is a plus
  • Experience working on Agile SCRUM teams is a plus
  • College Degree with EIS or MIS classes or prior experience
70

Arity Data Business Analyst Resume Examples & Samples

  • Provides business knowledge and support for resolving technology issues across one or more areas of the business and across multiple projects
  • Analyzes and translates business, data, functional, and user requirements and/or business rules into analytic and reporting requirements, data models and metadata deliverables by leading and guiding discussions internally with the project team and externally with business and technology partners
  • Plans, develops and leads information gathering sessions
  • Constructs and executes complex SQL queries and review data profiling results to discover semantics, patterns and value domains of data under analysis
  • Performs complex data analysis utilizing multiple techniques to determine, document and communicate existing and potential future data relationships, profiles and quality levels; uncover anomalies and variances in data content from expected results
  • Updates and maintains all logical (conceptual, relational, subject-level and dimensional) data models and other metadata deliverables at multiple levels of detail and functionality for a specific business subject area
  • Plans, develops and facilitates inspection sessions to validate that modeled data and related metadata deliverables match and satisfy business data requirements
  • Conducts reviews of physical data model and related technical detail with database administrators and technical developers as part of a single project's development life cycle
  • Understands, applies, teaches others and drive improvements in the use of corporate metadata development tools and processes
  • Leads the initiation of new projects through estimation and planning across a business AoR
  • Develops and keeps current an approach to data management across multiple business AoRs
  • Applies knowledge of tools and processes to drive data management for a business AoR
  • Creates complex technical requirements through analyzing business and functional requirements
  • Functional Competencies- Proficiency Levels
  • 3-5 years of related experience
  • Proficiency in one or more of the following programming languages: SQL, Python or SCALA
  • Experience with data analysis and familiarity with data quality and data quality methods
  • Familiarity with the Hadoop ecosystem and file structures
  • Prior experience in database modeling classes, MIS or EIS, system support, analytics, statistics
71

Senior Data & Business Analyst Resume Examples & Samples

  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Using multiple databases to interpret results and provide insights from data mining and customer experience
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement data collection systems and strategies that optimize efficiency and data quality
  • Acquire data from primary or secondary data sources and maintain consolidation processes
  • Manage designated projects to completion
  • Develop and maintain cooperative, collaborative and productive, team-driven relationships between the various departments and management team
  • Promote effective communications and information exchange, within the team, across the business and functional areas examined and with the external audit firms utilized
  • Drive change across teams recognizing the challenges inherent to an established culture
72

Big Data Business Analyst Resume Examples & Samples

  • Work within the software development lifecycle
  • Be comfortable asking questions until the business vision is understood
  • Apply a variety of analysis methods, elicitation and facilitation activities, and data modeling to garner and compose requirements for project initiatives which are easily understood by the technical development and testing teams
  • Work with minimal supervision to multi-task and prioritize several project initiatives
  • Be responsible to continuously align with technical teams ensuring the product delivers to business needs
  • 7+ years of experience in Business Analyst
  • Excellent knowledge of the business analysis discipline and application of concepts to projects
  • Excellent knowledge of software development lifecycle processes
  • Strong analytical, problem solving, and negotiation skills
  • Excellent organizational, planning, facilitation, and prioritization skills
  • Excellent interpersonal, consultative, and communication skills (written and verbal)
  • Knowledge of business and technology structures
73

Data / Business Analyst Resume Examples & Samples

  • Collect customer requirements, determine technical issues and create written requirements
  • Identify current process flows and methods to improve data collection, provide analysis and reporting to meet business area needs
  • Track and fully document changes for functional and business specifications; write detailed universally understood procedures for permanent records and for use in training
  • Create tutorials to help end-users use a variety of applications
  • Develops training curriculum and conducts formal training sessions covering assigned systems module
  • Work with internal teams to obtain an in-depth understanding of the projects and the documentation requirements
  • Produce high-quality documentation that meets applicable standards and is appropriate for its intended audience
  • Must work closely with the Supply Chain Management Team or Accounting Sub-ledger Team
  • Write easy-to-understand user interface text, online help and developer guides
  • Must be organized, efficient and a motivated self-starter Excellent written and verbal skill
  • Strong interpersonal communication skills, verbal, listening and written
  • Assist with administrative projects, agendas, meeting notes and action items follow-up
  • Assist with project testing requirements and training documentation
  • Requires meticulous attention to detail but also has the capability to be a free-form thinker
74

Data / Business Analyst Resume Examples & Samples

  • College degree in Business/Marketing, Finance, Computer Science, or another technical or quantitative field is strongly preferred; the ideal candidate will have graduated in the top 5% of their class
  • Prior financial industry experience
  • Desire to change the world
75

Data / Business Analyst Resume Examples & Samples

  • Interface with Business and IT team members, taking a lead role in the analysis, research, and resolution of master data issues
  • Understand the global use of Master Data to recommend and support uniform processes globally
  • Understanding and tracking Master Data enhancement requests to include detailed needs and requirements
  • Develop business rules and processes that support and enforce data quality standards
  • Perform ongoing master data profiling to identify data defects and execute data quality remediation action
  • Set up items/values as appropriate
  • Modify and Clean up Master file in accordance with and as defined by procedure
  • Confirm data access and usage of data is for its intended purpose
  • Accessing information (meta-data) available about how the data was defined for the business and how the data was produced in the information systems in order to use the data for its intended purpose
  • Ensuring the quality, completeness, and accuracy of data usage according to the definition of the data provided by the Data Trustees
  • Communicate new and changed business rules and standards on an as needed basis
  • Providing business analysis and programming expertise within an assigned business area
  • Staying abreast of changing technologies
  • 3+ years of experience in Master Data Management, business analysis preferred or related field preferred
  • Previous experience working with a global process manufacturing company is desired
  • Experience in data cleansing, classification and coding of transactions preferred
  • Excellent communication skills (written & oral)
  • Proficiency in MS Office (Word/Excel/PowerPoint)
  • Excellent interpersonal skills with the demonstrated capability of developing and maintaining internal and external positive and professional relationship
  • Experience with SAP ECC 6.0 and S/4HANA preferred
  • Able to support travel as needed
76

Senior Data Business Analyst M/f/x Enabler Resume Examples & Samples

  • You have a Master’s degree in business, engineering or finance
  • You have at least 3 years of relevant experience
  • You master the Dutch, French and English languages
  • Experience working in complex organisations and in the financial industry is a plus
  • You have good social skills with a strong business orientation
  • You have strong communication skills (oral & written)
  • You are a great teammate and actively contribute to the team spirit
  • You have a can-do attitude, and are always willing to find solutions and new ways to improve
  • You adapt well to change and you will take up the role as a change agent with enthusiasm
  • You are accurate and have a structured and well-organised approach
77

Finance Data Business Analyst Resume Examples & Samples

  • Creation of Business Analysis deliverables and conduct peer reviews of these deliverables to ensure that quality standards are met on all outputs
  • Completing data decomposition templates
  • Working on projects, you’ll help to identify and articulate risks and issues, providing timely updates to project and programme managers and your leaders within the Business Analysis Practice
  • Help shape and drive Business Analysis at Nationwide through the continuous improvement & transformation of our Practice
78

Enterprise Data Business Analyst Resume Examples & Samples

  • Perform as a member if the Enterprise Data Management team, working with business and technical leaders on a variety of projects to analysis business problems and opportunities, documenting and assessing current state, and designing and influencing future state concept of operations
  • Understand, help shape, and promote the Enterprise Data Management strategy
  • Document, assess, influence and synthesize business requirements related to enterprise data storage, data movement and data governance capabilities
  • Analyze, assess, and document current state through the development of business process models and data flow diagrams
  • Design and influence future state concept of operations through the development of business process models and data flow diagrams
  • Facilitate and promote usage and adoption of the data management tools, particularly among business users
  • Assist in the establishment of Communities of Practice, virtual organizations that meet regularly to share ideas and best practices and promote a culture where data is managed as an asset of the company
  • Develop candidiate Key Performance Indicators and dashboards to measure the success and ROI of the Enterprise Data Management program
  • 5-8+ years of relevant experience performing business analysis with a concentration on enterprise information management
  • Demonstrated experience developing relationships and networks with business and technical leaders
  • Demonstrated experience in the use of process and data modeling methodologies and tools to represent current state and design of future state concept of operations
  • Demonstrated experience in creating and telling a story through visualizations and presentations to business and technical staff
  • Demonstrated experience evaluating, designing and supporting Master Data Management processes and tools (Informatica, Oracle, IBM, etc.), Date Movement processes and tools (ETL, etc), Data Governnace processes and tools (e.g. Collibra, Informatica, IBM, IBM Business Glossary, etc.), and Data Warehousing, Analysis and Reporting processes and tools (e.g. Business Objects, Spotfire, etc.)
  • Exposure to Lean / Sig Sigma methodologies is highly desirable
  • Exposure to advanced analytics/data science is highly desirable
  • Experience in leading change and managing transitions is highly desirable
  • Strong technical proficiency and demonstrated ability with data management technologies
  • Ability to perform basic project management functions such as project plan development and resource / time estimation of tasks
  • Ability to tell a story through presentations, to motivate and influence adoption of new ideas and capabilities
  • Ability to work in a fast-paced environment and manage multiple simultaneous priorities
  • Demonstrated ability to think end-to-end, connect moving parts, and anticipate and manage change impacts
  • Working knowledge of MS Word, Excel, and PowerPoint
  • Experience with visualization tools like Spotfire is desirable
  • Working knowledge of current and future information management technologies, trends and applications
  • Bachelor’s degree; equivalent work experience accepted
  • Assets under management represent Consolidated Domestic and International insurance Company Statutory assets (cash and invested assets and separate account assets) and third party assets principally managed by New York Life Investment management Holdings LLC, a wholly owned subsidiary of New York Life Insurance Company
79

Technical Data Business Analyst Resume Examples & Samples

  • Drive data requirements and definitions to support a large scale initiative to build an operational data store
  • Research and understand key data requirements, metadata, report delivery and ETL processes for source file receipt
  • Extract technical concepts/ideas and convert into business requirements documents and supporting documentation to be consumable by highly technical development teams
  • Create sustainable processes to maintain foundational data sources including data integrity
  • Excellent verbal, written, and interpersonal communication skills
  • Knowledge and understanding of business requirements gathering and translation to technical requirements
  • Highly refined and professional verbal and written communications
  • Ability to interact with all levels of an organization
  • Ability to assess issues, make quick decisions, implement solutions, and influence change
  • 4+ years of data management experience
  • Knowledge and understanding of technical leadership including large, visible, cross group projects across multiple technologies
  • 4+ years of information technology experience
  • Knowledge and understanding of data governance challenges and approaches: metadata, data quality, and data stewardship
  • Knowledge and understanding of risk management
  • Advanced Microsoft Office (Outlook, Excel, Word, PowerPoint, LiveMeeting and SharePoint) skills
  • Excellent analytical skills with high attention to detail and accuracy
  • Knowledge and understanding of Information Technology governance risk and compliance processes such as; policies, control standards, risk management concepts, or information security Knowledge of data mining techniques
  • Ability to understand logical and physical data models
80

Data / Business Analyst Resume Examples & Samples

  • Data Analysis on Client Contact Data to assess quality, migration rules, test hypotheses and identify trends
  • Develop strategies for data cleansing and standardization
  • Create reports on metrics and data sampling
  • Assist in creating the High Level Design documents
  • Create data centric and process centric use-case flows
  • Publish Content in internal project portals (SharePoint, Wiki, etc)Required Skills
  • Minimum 7+ years in a large complex banking organization or major consulting organization focused on a Business Analysis / Data Analysis type role
  • Strong background in Oracle and DB2
  • Strong SQL and query optimization skills
  • Data / Business analysis experience in Client Data
  • Proficient in Excel, Word, PowerPoint and Visio
  • Strong Oral, Writing and Communication skills
  • Strongly detail oriented, organized, and analytical
  • Bachelor’s degree from an accredited university or college required in MIS, Mathematics, Statistics, Finance, Computer Science or related education
81

Senior Data Business Analyst Resume Examples & Samples

  • Bachelor's degree or equivalent in CS, IT or related field
  • Strong, consistent problem-solving abilities and result-driven communication with business partners
  • 5-8 years of experience as a data / business analyst
  • Expertise in SQL and data profiling
  • Experience in Salesforce, NOSQL
  • Experience with reporting tools
  • Knowledge of data warehousing concepts and dimensional data modeling
  • Ability to organize and run agile development team
  • Ability to articulate and document processes and workflows
  • Experience with Master Data Management
82

Senior Customer Data Business Analyst Resume Examples & Samples

  • Attention to detail and a strong commitment to quality, and customer service
  • Strong communication skills, both written and oral. Excellent interpersonal skills necessary to work effectively with all levels of the organization and geographically distributed teams
  • Solid business judgment, strong organizational and time management skills
  • Work with technical resources to analyze data, source systems, data models, and generate source to target documentation, and system recommendations
  • Identify and document existing processes, workflows, gaps, and risks. Summarize insights of the data, and communicate implications for internal and external stakeholders
  • Utilize Excel, SQL and other data analysis and profiling tools to query, understand, and manipulate complex data
  • Support the business in creating developmental level innovations via the utilization of Tableau
  • Work with multiple Stakeholders to define the analytical requirements
  • Identify and design solutions to resolve data quality issues including integrity, accuracy, consistency and completeness in an efficient and timely manner, for data used by multiple business units
  • Validate the business need for solutions to business problems and process improvements
  • Generate summary and specified dashboard and metrics which represent operational data in brief and intelligible format, suitable for the target audience, which includes executive leadership department managers and data analyst
  • Combine data on ad-hoc from multiple sources including sales, inventory, product, and customer databases to create integrated views that can be used to elicit requirements
  • Create Logical and Physical data models to enhance the analytical requirements of the business
  • Review designs and develop test plans to validate data lifecycle management
  • Support the adoption of industry best practices for business analysis
  • Partner with Data Management to execute activities relating to testing, data validation, and support phases of upgrades and new implementations
  • Knowledge of MDM customer platforms
  • Knowledge of data profiling tools
83

Technical Data Business Analyst Resume Examples & Samples

  • 2-5 years business analysis experience; Insurance industry experience desired/plus; 4 year degree required
  • Ability to work directly with executive and senior level management to determine and document requirements
  • Experience with project management and/or implementation of data system requirements based on changes in workflow or changes in business requirements
  • Experience in writing detailed business plans and business cases with detailed scopes of work
  • Experience with business process reengineering
  • Experience in building test case scenarios
  • Experience in data quality initiatives
  • Require excellent communication and presentation skills working directly with Arch Statistical Reporting, Claims, Finance and Arch Advantage teams
  • Ability to work with technical teams (developers, architects, QA, infrastructure), business partners and software vendors to document and implement system modifications on time and within budget
  • Excellent team player and self starter, with a proven background of individual contribution
  • SQL skills to query SQL databases and experience in reporting and data validation / reconciliation
  • Experience in writing detailed project plans, text cases with detailed scopes of work. Experience with data management process re-engineering
84

Senior IT Big Data Business Analyst Resume Examples & Samples

  • Utilizes a variety of training delivery methods and is able to adjust training material based on time, participant needs, and assessment of the audience
  • Maintains proper inventory of training material
  • 7+ years of Business Systems Analysis experience
  • Organization skills and ability to multi-task
  • Ability to be flexible in reacting and adapting quickly to changes
85

PTC Data Business Analyst Resume Examples & Samples

  • Computer literate with working knowledge of Microsoft Office
  • Good understanding of the GSK supply chain operating platforms for demand transmissions and invoicing (e.g. MGX, Babel and JDE)
  • Good understanding of GSK Trade Route principals including VAT treatment
  • Proven ability to successfully analyse and implement large volumes of data
  • Able to understand, influence the design of, and implement complex processes
  • Motivated self-starter with proven ability to work under pressure against tight and changing dead-lines
  • Ability to communicate professionally and confidently up and across multiple business levels
  • To be able to successfully plan working activities and understand risks and issues associated with it
  • Educated to degree level or equivalent an advantage
  • A second European language is a bonus but not essential
  • Expert technical and business knowledge in the Cx or Rx business in the area of supply chain planning and its operating platforms
  • Strong reporting skills across JDE Platforms, TRAM, ECC,SNP, SAP
  • Expert technical and business knowledge in Trading Partner Operations processes and systems
  • Strong interpersonal skills capable of building relationships across different stakeholder and functional groups in the organization
  • Ensure that all financial Trade Routes are in line with Global Tax guidelines
  • Work with ERP to execute activities to complete the migration of data into SAP for the PTC
  • Maintaining relationships with groups within the PTC and ERP to drive the data migration exercise
  • Set Up and amend trade route data in the TPO systems ensuring minimal impact on the business
  • Coordinate changes to other supply chain related systems, MGX, Site, SB14 etc
  • Support ERP/PTC related testing activities
  • Deliver appropriate training to internal groups to ensure appropriate processes in place
  • Managing and communicating relevant updates and information to impacted stakeholders
  • This role ensures that E2E supply chain data is set up correctly, enables patient to receive goods in timely manner - without shipment delays due to missing or incomplete data
  • Coordinate and deliver PTC data for TRM bearing in mind continuously changing deadlines
  • Communicate and manage challenging stakeholders
  • Proven ability to work independently and as part of a team
  • Develop others as part of your own professional growth
86

IT Data Business Analyst Resume Examples & Samples

  • As one of the key contacts between Enterprise Systems Technology and the business, this is a very visible role that requires strong partnership with the business groups and technology teams. You must provide continuous communication of the practical implications of business decisions, issues and plans to business and technology teams
  • Translate business requirement into functional/technical requirements for online payment card transaction processing initiatives
  • Document requirements specific to online payment card transaction processing initiatives that impact multiple systems within Chase Paymentech
  • Train other users, Product Managers and Integration Consulting Engineers as part of each project implementation to production
  • Understanding of online transaction processing and broad knowledge of financial/banking
  • Knowledge of and experience with online credit or debit card payments processing
  • ETL & Data Mapping experience is a must
  • Experience leading/coaching junior resources
  • Strong analytical skills and writing skills, to include solid experience in writing functional and technical specification
87

Senior Data Business Analyst Resume Examples & Samples

  • Analyzing and documenting current business processes, including any pain points, by eliciting input from Business and Information Technology users
  • Understanding business needs and leading thoughtful design discussions around meeting those business needs with business users and executives
  • Developing, based on requirements gathered from the business, detailed functional specifications
  • Determine how solutions will impact existing work processes and systems, and how to manage the integration of new process’ or functionality
  • Providing ad hoc training and consulting to business users as required
  • Ensures IT enhancements and project demands are delivered successfully with anticipated results
  • Ensures development lifecycle and control processes are followed end-to-end
  • Creates support documentation for rollouts and PowerPoint presentations for webinars and conduct training as needed and coordinate deployment
  • Ensures knowledge transfer to the Business occurs prior to a system go-live
  • Work closely with Project Manager
  • Must have 7-10 years of recent experience as Business Systems Analyst or Business Analyst in a technology environment, specifically working with data, data relationships and process mapping
  • Excellent understanding of Microsoft Office Suite: Word, Excel, Power Point & Visio
  • Must have experience presenting at an Executive level
  • Candidates must be able to pass a background and drug test
  • Please note that as a contract employee of Apex Systems, you’d be eligible for Health, Dental, Vision and Life Insurance; Short Term Disability; Hospitalization Coverage; Direct Deposit; Weekly Pay Periods; Training and Development Programs; and our Referral Program.*