Data Strategy Analyst Resume Samples

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A Goldner

Alexandro

Goldner

284 Wolff Via

San Francisco

+1 (555) 535 8885

284 Wolff Via

San Francisco

Phone

p +1 (555) 535 8885

Experience Experience

Chicago, IL

Data Strategy Analyst

Chicago, IL

Bayer Group

Chicago, IL

Data Strategy Analyst

Comply with the Strategic Analytics Governance Framework & Rule Management Framework when delivering rule monitoring and code development
Work cross-functionally to manage data and analytic projects
Provide accurate and timely production of MI and data extracts in response to work requests from key stakeholders
Initiatives to improve and automate processes to minimize errors and reduce effort
Work with cross-functional teams to achieve results
Analyzing new and existing data sources to establish fit for use cases
Improve department results through innovation

Los Angeles, CA

Quality & Strategy Data Analyst

Los Angeles, CA

Gaylord-Boyer

Los Angeles, CA

Quality & Strategy Data Analyst

Engage in mentoring, knowledge transfer and providing subject matter expertise to colleagues
Monitor and oversee GIA findings including status and due dates for closure and follow-up
Contribute to the accuracy, consistency and completeness of information reported to the Audit Committee
Support the evolution of GIA’s transformation programme
Support the Data Analytics function in accessing, analysing and presenting Strategic MI from across Standard Life to support continuous monitoring, horizon scanning, GIA plan development and individual audit planning
Develop, implement and run GIA Operational MI highlighting plan completion, trends in ratings, findings, root cause etc. for the purpose of monitoring the SL Control Environment and inputting to GIA planning
Contribute to GIA reporting outputs, including innovation in presentation, on for example GIA trends, plan delivery, audit outputs, findings, dashboard etc. Maximise the automation of this material where possible

present

Phoenix, AZ

VP, Digital Data Strategy Analyst

Phoenix, AZ

Kemmer, Zemlak and Flatley

present

Phoenix, AZ

VP, Digital Data Strategy Analyst

present

Develop partnerships across the globe with IT and Decision Management Teams to gain buy in on strategic governance and standardization processes
Develop techniques to merge digital data assets with non digital data sources for both structured and unstructured data
Develop digital analytics that can be leveraged globally
Test new tools and techniques that can be leveraged globally to develop deep insights from digital data sources
Web Analytics including traffic and conversion metrics, pathing analysis
Proficient in using Adobe Site Catalyst/Adobe Discover
Examine and test new data sources that can be leveraged to enhance our digital assets

Education Education

Bachelor’s Degree in Business

Florida Atlantic University

Bachelor’s Degree in Business

Skills Skills

Evaluation of data accuracy, completeness, timeliness and stability and establishing repeatable, sustainable processes to maintain data
Communicate findings to make data analysis actionable and understandable by business partners, including IT and analytics
Strong understanding of analysis and computational complexity and ability to programmatically solve problems
Excellent diagnostic skills to analyze and identify discrepancies within data sets and identify solutions
Able to identify relationships in data to assist in providing insights
Resilient work ethic with the capability to adapt to the situation
Capable of working independently on multiple projects to meet deadlines
Ability to handle ambiguity while striving for clarity
Strong collaboration and communications skills
Analytical reporting experience desirable

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15 Data Strategy Analyst resume templates

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VP, Digital Data Strategy Analyst Resume Examples & Samples

Develop common standards and processes for digital analytics and reporting that drive actionable insight
Develop partnerships across the globe with IT and Decision Management Teams to gain buy in on strategic governance and standardization processes
Partner with our Big Data implementation team on global governance and standard metrics for digital data
Develop digital analytics that can be leveraged globally
Examine and test new data sources that can be leveraged to enhance our digital assets
Test new tools and techniques that can be leveraged globally to develop deep insights from digital data sources
Develop techniques to merge digital data assets with non digital data sources for both structured and unstructured data
Experience in working on complex, global projects, and proven ability to deliver results
Deep understanding of financial services data combined with an appreciation for digital and customer experience analytics
Ability to understand both technical requirements (ie data environments, analytic tools and techniques) and business implications
Deep understanding of data governance, data privacy and usage requirements. Prior experience with digital data a plus
Strong relationship building and communication skills
Experience presenting and assembling executive level communication
Genuine passion for our customers and keen interest in making their lives better in all that we do
Poise and professionalism
Experience working in a dynamic, fast paced environment
Bachelor's Degree required, Master’s Degree a plus
5+ years of exposure to Financial Services analytics in a digital domain including web analytics
Candidate should have worked in any of the following domains: Credit Cards, Retail bank, Mortgage, Lending/liability product
Adobe Site Catalyst/Adobe Discover certifications preferred, not required
Proficient in using Adobe Site Catalyst/Adobe Discover
Exposure to Big Data platforms and tools (HDFS, Hive, Pig)
Proficient in MS Excel, PowerPoint
Web Analytics including traffic and conversion metrics, pathing analysis
In depth understanding of Customer lifecycle management within the financial services domain (Cards, Retail bank, Mortgage, Lending/liability product)
Account acquisitions

Data Strategy Analyst Resume Examples & Samples

Able to identify relationships in data to assist in providing insights
Work with cross-functional teams to achieve results
Work cross-functionally to manage data and analytic projects
Improve department results through innovation
Master’s degree in Business, Information Technology, Analytics or other relevant disciplinary
Demonstrated problem formulation and problem solving skills
Ability to take complex problems and break them down to create and implement an action plan
Communicate findings to make data analysis actionable and understandable by business partners, including IT and analytics
Candidates should have experience with using some data analysis tools such as: SQL, Hadoop, Teradata, SAS, Excel, MS Access, etc
Business development and relationship building to establish partnerships with third parties and internal stakeholders
Strong understanding of analysis and computational complexity and ability to programmatically solve problems

Analyst Performance & Data Strategy Resume Examples & Samples

Develop and maintain reports leveraging best available technology to meet business needs
Experience in the IBM Cognos Analytics Product Suite
Collaborate with business units to identify and document requirements and reporting challenges
Perform requirements analysis, report and analytics solution design and development
Production support, including maintenance to existing Cognos reports, as well as troubleshooting and resolving issues
Should have working knowledge of business intelligence fundamentals as well as familiarity with ETL processes, database schemas and storage procedures
Investigate and resolve performance issues with queries and reports
Develop technical documentation for reporting requirements
Bachelor’s or Master’s Degree in Computer Sciences or other related field or equivalent work experience preferred
2+ years of RDBMS programming experience, SQL, Stored Procedures, and scripts
2+ years of progressively responsible experience with Cognos including Report Studio, Cognos Workspace and Active Reports, as well as design and construct of OLAP cubes
3+ years in business intelligence reporting and analytics
3+ years Information Technology experience
Working knowledge of Teradata, SQL Server, SAS and Oracle, as well as familiarity with flat files, Excel and other unstructured data sources
Knowledge of Agile Methodology and experience with Rally Tool is desired
Knowledge of Tableau is a plus
Work collaboratively with report and ETL developers, DBA, and subject matter experts
Ability to be self-directed and task oriented as well as being able to work closely with other team members and cooperate to achieve common goals
Ability to select and implement the best possible reporting solution for different business needs
Ability to prioritize and successfully engage in multiple projects simultaneously
Must have strong interpersonal, oral and written communication skills

Ifrs Data Strategy Analyst Resume Examples & Samples

Strong documentation writing skills
Experience in consumer and corporate risk across change and BAU lifecycles
Knowledge of retail financial services portfolios
PC skills - Including competence in the use of SAS, Excel, PowerPoint and Word

Data Strategy Analyst, VP Resume Examples & Samples

Detailed-oriented Planner
Hands on experience in creating and maintaining complex WBS
Experience working on cross business and technology data programs
Ability to track and drive tasks to ensure on-time completion
Ability to identify potential issues and risks in advance and alert management accordingly
Ability to handle multiple objectives in a fast-paced corporate environment
Experience in MDM, ECM and data warehouse technologies
Strong background in systems development (Managed a team with both operational and project responsibilities)
Has a strong understanding of control systems and relevant technologies and how they interact with each other
Has experience with IT infrastructure, IT application technologies and frameworks
Experience in Data modeling and database design
Experience in emerging technologies

Strategy Data Analyst Resume Examples & Samples

Strong numerical, analytical and conceptual skills
Able to build relationships with both internal and external business partners
Match common data fields (primary& secondary key) from multiple unrelated systems or databases
Strong proficiency in MS Office (Extensive use of MS Excel/Access), SQL, statistics knowledge

Senior Analyst Data Analytics & Strategy Resume Examples & Samples

Understand the Goodreads/Amazon data structures (MySQL/Oracle/Redshift)
Partner with Engineering/Data Engineering to improve the quality of existing data and bring additional data sources in line
Write sophisticated SQL queries to extract data and build complex models (Excel/R/etc.)
Build/automate reports/dashboards (in Tableau) that allow the business leaders to get a clear snapshot of their operations
Design and analyze A/B tests to quantify impact of customer-facing changes
Perform complicated analyses to extract learnings and drive insights
Communicate insights to the business partners, Goodreads leadership, and Amazon stakeholders - emphasizing clarity, completeness, and actionability
Expert at SQL – write sophisticated and optimized queries against large databases
Excel – create complex, scalable, and robust models
Business Acumen – understand business drivers and have a framework-driven process of analyzing business problems and developing solutions
Communication – share insights in a way that is easy to grasp and actionable and build relationships to help drive adoption of data- and insights-driven decision making
Tableau – build clear and actionable dashboards (nice to have)
Scripting – use a scripting language like python/R (nice to have)
Undergraduate degree in a highly quantitative/technical field (e.g. Physics, Computer Science, Economics, etc.)
3+ years of experience and steadily increasing responsibility in an analytics function – ideally in a consumer-facing business
Proven ability to solve business problems and provide clear and analytically-supported solutions
Demonstrated intellectual curiosity
A Graduate degree (MS, MBA, PhD, etc.) in a similar field will be highly valued but is not required
Love for reading and connection to the Goodreads mission

Fraud Strategy Senior Data Analyst Resume Examples & Samples

Monitoring existing fraud models/strategies and ensuring that they meet false-positive and detection rate criteria; explains variances and recommends remedial actions; mines customer, account and transactional data to develop segmentation to improve fraud detection and minimize impact to legitimate transactions
Strong partnership with fraud detection effectively managing the oversight of workflow queue alert prioritization and effectiveness based on ROI
Conducting ongoing analysis to identify root cause of fraud trends
Collaborating with Fraud Operations to deliver requirements for implementation of new fraud strategies
3+ years of advanced analytics work experience preferably in financial services industry
Proficiency with data extraction/mining tools (data processing and analysis) using SQL, SAS
Proficiency with Microsoft Office applications; Advanced Excel, Advanced Access

Quality & Strategy Data Analyst Resume Examples & Samples

Provide induction and training on the audit tool (Vision) and develop capability of the tool to ensure maximum utilisation. Be the go to person for any queries or anomalies regarding Vision
Develop, implement and run a suite of QA related MI, measuring data accuracy, completeness and timeliness and Methodology Compliance in alignment to team and individual objectives
Develop, implement and run GIA Operational MI highlighting plan completion, trends in ratings, findings, root cause etc. for the purpose of monitoring the SL Control Environment and inputting to GIA planning
Support and oversee the inputting, updating and accuracy of the audit plan on Vision (also maximise the Vision tool capability in this regard)
Monitor and oversee GIA findings including status and due dates for closure and follow-up
Support the evolution of GIA’s transformation programme
Support the Data Analytics function in accessing, analysing and presenting Strategic MI from across Standard Life to support continuous monitoring, horizon scanning, GIA plan development and individual audit planning
Contribute to the accuracy, consistency and completeness of information reported to the Audit Committee
Contribute to GIA reporting outputs, including innovation in presentation, on for example GIA trends, plan delivery, audit outputs, findings, dashboard etc. Maximise the automation of this material where possible
Provide oversight and insight on utilisation through the time logging system (Retain Time). Expand on the potential of Retain Time through, for example, scenario modelling, usage rates, dependencies etc
Provide MI on GIA outputs and coverage in response to ad-hoc request from, for example, due diligence exercises, requests from Risk, Relationship Management, Governance Forums etc
Engage in mentoring, knowledge transfer and providing subject matter expertise to colleagues
Comfortable influencing stakeholders and challenging where necessary,
Extensive experience working with data and related tools (e.g. data mining, analytic techniques, modelling, visualisation software, SAS, SQL, etc.),
Proven ability to problem solve, delivering data driven reporting / understanding / business insights, as well as influencing action for change,
Ability to see connections and to position information in a strategic context,
Higher level education with relevant experience or professional qualifications,
Excellent written and oral communication skills in any environment,
Ability to work as part of a team and collaborate with other stakeholders
Creative mind-set and ability to think outside the box,
Enthusiasm for learning and trying out new approaches,
Nurturing and growing your own and others ideas to shape GIA’s transformation,
Experience of audits/controls assurance reviews,
Experience of risk management frameworks or working in a risk management environment,
Knowledge and experience of the financial services industry, and the current regulatory environment

Data Sourcing & Strategy Analyst Resume Examples & Samples

Administer invoices for market data and research invoices as needed
Maintain inventory in the firm’s market data inventory management database (FITS)
Provide close working support to DSS’ Business Analysts
Support monthly close processes
Oversee finance and administration relationship with vendors
Seek ways to automate and streamline market data processes, especially with regard to market data platforms and exchange entitlements
Oversight of soft dollar and sales/use tax policy and administration
Assist with budgets, ad hoc reporting, and special projects
Strong analytical ability, familiarity with data analysis and database tools important
Accounting or Finance degree preferred, but will consider other educational backgrounds/equivalent work experience. Some exposure to Information Technology (IT) in an academic setting is helpful
1-3 years experience in an accounting, finance, IT or market data environment, will consider recent graduate
Facility with Excel essential, exposure to Access, SQL, and other database tools desirable
Market data experience, with exposure to the soft dollar process desirable, but other financial / IT experience will be considered
Experience with market data inventory management tools (FITS or similar) helpful
Detail oriented, strong team player, genuine interest in market data in an asset management environment, excellent verbal and written communication skills

Data Analyst, Healthcare Strategy Resume Examples & Samples

Working with end users, technical staff, and project team members to plan, design, develop, implement, and enhance business analytics capabilities using a variety of tools from Excel with Visual Basic to Tableau
Construct and maintain an appropriate, scalable, and easy-to-use infrastructure with various tools to support the development of actionable reports used in decision-making across the strategy team
Develop and maintain reports, dashboards, cubes, and scorecards to deliver information requests and deepen the analytics capabilities of operations, fiscal, and strategy staff
Perform data analysis, including data profiling into Nuance and client data warehouses and client data warehouses, to obtain a good understanding of data availability, relationships and nuances for consideration of BI solution design
Integrate new data into Nuance’s data environment as required for reporting using ETL Tools
Develop and maintain a standard pursuant to Nuance’s reporting architecture, report documents, dashboards, cubes, and other reporting development practices
Establish analyses and processes used for management decision support
Develop and provide timely operating and financial metrics, trend identification and analysis, performance assessments and feedback with the ability to translate analysis into actionable information
Business planning functions including budgeting, forecasting and modeling
Provide financial analysis support and insight to operating areas within the company
Performs all other related duties as required

Senior Credit Data & Strategy Analyst Resume Examples & Samples

Preferred experience working for a top 20 U.S. indirect auto lender
Exposure to risk strategies for originations, account management and collections
Experience working as part of a cross functional team
Experience presenting analytic findings and recommendations to senior management and executive directors

Client Strategy Data Analyst Resume Examples & Samples

Own the data, analytics, and reporting to empower business verticals and build data innovations
Conduct deep dives to identify trends, risks and top areas of opportunity
Help the Sales Team make better decisions and guide clients by using data
Help guide pricing with use of data
Leverage client performance data to guide our Marketing teams and pricing models
Collaborate closely with the sales, business analytics, product and other insights team members to provide analysis, reporting and tool-building capabilities that inform our key stakeholders
Develop scalable and repeatable playbooks/guides for internal and external stakeholders
Work closely with Sales/Data Engineering to standardize, refine and expand data sharing programs (Pixel Engagement and LeadID)
Ensure data integrity across all performance-based metrics, tracking and reporting
Undergraduate or Master’s degree in a quantitative field (e.g. engineering, business, economics, finance, statistics, and analytics)
3-5 years of data analyst experience
Strong analytical background with a proven track record of demonstrating an aptitude to compile data in comprehensive reports, analyze trends and make fact-based recommendations
Strong experience with data manipulation and blending across different data sources (GA/Omniture/DFP/SQL databases)
Proficient at writing SQL queries against complex databases for the purpose of data extraction
Experience with web analytics such as Google Analytics or Omniture (Adobe Analytics)
Experience with reporting and visualization tools like Tableau, MS SQL Server Reporting Services (SSRS), Looker, etc
Knowledge of the Internet landscape, including a comprehension of display advertising, lead-oriented/search-oriented (cost per click, cost per lead, cost per call) business models
Ability to translate business questions into problems solvable using analytics tools, and enjoy converting the results of your analyses into visual stories tailored to the needs of the audience
Strong written and verbal communication skills and have experience working on and communicating with fast-paced, dynamic teams
Excellent Excel and PowerPoint Skills
Team-oriented, self-motivated, success-driven, roll-up-your-sleeves attitude

Data Strategy Analyst Resume Examples & Samples

To support the execution and production of UKRB Portfolio’s reporting, modelling and data preparation to agreed SLA’s
Become a subject matter expert in one or more portfolio’s operation and content e.g. Local Business or Current accounts
Execute small change when requested to support the UKRB Change agenda and production optimisation
Provide accurate and timely production of MI and data extracts in response to work requests from key stakeholders
Interaction with the stakeholders to ensure that the data/MI produced meets their requirements
Management, testing and governance of changes to specific databases (for example changes to existing queries/ new queries)
Data quality management and monitoring
Development of new change request
Identify new opportunities for enhancing/ streamlining service
Formulate opportunities into proposals and implement
Initiatives to improve and automate processes to minimize errors and reduce effort
Comply with the Strategic Analytics Governance Framework & Rule Management Framework when delivering rule monitoring and code development
Ensure stakeholders are engaged and sign-off all relevant documents
Production of loss and operational MI on a daily, weekly and monthly basis
Hands on experience in SAS (Base, Advance SAS, SAS Macros) , SQL , Unix , Winscp
Relevant experience in Risk operations. Preferably in Market/ Credit Risk
Well versed with SDLC and change Management process
Excellent communication skills: written and verbal
Ability to research problems and find a way forward
Proficient with IT and PC systems – Word, Excel, Access,Powerpoint
Customer focused
Ability to plan and organise
Experienced in the management and monitoring of databases especially Access
Good overall knowledge of the Bank’s processes, together with a comprehensive understanding of the Risk and other areas of the Bank
Thorough knowledge of procedures, operations and security relating to PC systems
Knowledge of users operational needs to understand the use and purpose of the applications

Senior Analyst, Data Strategy Resume Examples & Samples

Work with Data Management Platform (DMP) partners and manage day-to-day onboarding of client data
Participate in team meetings and knowledge sessions to share new strategies for targeting campaigns and to provide feedback on platform and data performance
1-2 years experience
Understanding and experience with DSPs, DMPs, 3rd Party data, pixels and Ad Servers
Familiarity with customer acquisition goals and optimizing to CPA, CTR, Completion Rate, etc
Strong analytical skills, technical know-how and strategic thinking
Strong attention to detail and ability to follow projects through to completion
Ability to communicate technical concepts to a non-technical audience
Highly organized with attention to detail

Data Strategy Analyst Resume Examples & Samples

Supporting all phases of data collection and assessment for client database builds
Communicating with client data owners and media agency partners to understand data and identify data attributes critical to our modeling process
1-4 years of experience in marketing research, agency, consulting, ad-tech, software, data analysis
Self-motivated and willing to take ownership
Ability to handle ambiguity while striving for clarity
Bachelor’s Degree in Information Systems, Economics, Computer Science, Mathematics or experience in related field

Senior Credit Data & Strategy Analyst Resume Examples & Samples

Build credit risk strategies for originations, account management and collections
Develop risk based pricing models and strategies to meet ROE targets
Integrate new data sources and solutions into credit risk strategies
Develop a program to track expected versus actual behavioral and performance measures for appropriate portfolios, populations, and segmentation end-nodes
Enhance the analytic framework for credit decisioning and pricing
Develop new quantitatively driven challenger strategies and pilot programs across the customer lifecycle
Implement strategies to increase automated decisioning
Develop and present analysis results and recommendations to senior leaders

RnA Data Strategy Business Analyst Resume Examples & Samples

Contribute to the Risk and Analytics (RnA) as a BA
Implement Functional solutions, unit test & coordinate releases and where applicable contribute to design sessions
Interact with end users to understand their requirement and build solution pertaining to that
Work as a part of a local team and liaise regularly with colleagues in other regions

Data Strategy Business Analyst Resume Examples & Samples

Execute ad-hoc analysis by utilizing various tools and visualization capabilities
Support project management needs of analytical projects
Succinctly communicate ideas, recommendations, articulate analytics results to business and influence decision making
Liaise with Technology and Business areas to drive prioritization decisions, data requirements, implementation, testing and maintenance
Partner with business/product areas to develop specific distribution strategies for their investment ideas
Manage governance process around investment idea generation and distribution
Raise data quality concerns and issues; partner with Data Quality team to assess and remediate
2-5 years of data modeling experience
Bachelor’s Degree in related technical field of study
Ability to independently own database development and decisions, balancing demands and deadlines
Experience in Data Architecture and Database design patterns
Ability to reverse engineer existing databases
Strong analytical and problem solving experience
Good understanding of database technologies (Oracle, SQL Server, DB2, Teradata) / Hadoop
Background in the Financial Services Industry
Experience using tools such Microsoft Access, and visualization tools is a plus (e.g., SpotFire, Tableau, QlikView)

Infrastructure Data Scientist & Strategy Analyst Resume Examples & Samples

Partner cross-functionally with capacity engineering, hardware engineering, network engineering, connectivity programs, data science, finance, technical program management, and other product / engineering teams to develop thoughtful analyses and deliver key insights for production and non-production Infrastructure development
Influence the deployment of Facebook’s Infrastructure by leading strategic frameworks for decision-making which may include but are not limited to: engineering design decisions, key business metrics, go-to-market strategy, infrastructure capacity forecasts, market/industry due diligence, cost/business models etc
Manage cross-functional projects from inception to completion which will include both technical and non-technical responsibilities
Build automated dashboards for real-time visibility on business drivers
Leverage tools like Excel, SQL, R, Python, Tableau, GSMA, etc. to drive efficient analytics and reporting
Interest and willingness to work on both complex data science / engineering and business model / strategy projects
Degree in an analytical field (e.g. in Engineering, Economics, Business, Mathematics or similar field focused on quantitative and analytical areas)
6+years of experience in data science, analytics, investment banking, management consulting, private equity or analytics-heavy function at a high-growth technology company
Experienced with tools like Excel, SQL, R, Python, Tableau and GSMA

Human Capital Strategy Data Analyst Resume Examples & Samples

3+ years of experience with supporting various human capital functions, including human capital strategy, workforce planning and analytics, recruiting, employee engagement and retention, and performance management
3+ years of experience in working with HR data and systems and technologies, including Workday
2+ years of experience with hands–on development using Tableau or other BI tools to create dashboards and standard template reports
Ability to translate business needs into practical applications and solutions
Ability to apply excellent customer focus and management of client expectations
Ability to leverage expertise in facilitation and presentation, including Microsoft PowerPoint, Excel, and Tableau
Ability to deliver results expeditiously, in a rapidly changing environment
Experience with statistical methods and software, including SPSS
Experience with hypothesis-driven research in a social science, business, or other applied environment

Senior Analyst, Data & DMP Client Strategy Resume Examples & Samples

Manage data strategy for programmatic advertising clients and communicate strategies/recommendations to clients using a consultative approach
Leverage data to assess, diagnose and prescribe campaign optimizations to exceed client expectations
Extract insights from data and effectively communicate to clients in relation to their goals and objectives. Share results from audience analytics reports with clients when available
The ideal candidate will have at least 2-3 years prior digital advertising experience in a client services capacity with hands-on knowledge of the DSP/DMP landscape, as well as a passion for data-driven advertising and insights
Excellent interpersonal, oral, and written communications skills
Proficiency in Microsoft Office solutions

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