Business Data Architect Resume Samples

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RS
R Schoen
Rocky
Schoen
83253 Jones Drives
Chicago
IL
+1 (555) 444 3830
83253 Jones Drives
Chicago
IL
Phone
p +1 (555) 444 3830
Experience Experience
San Francisco, CA
Business Data Architect
San Francisco, CA
Pagac Group
San Francisco, CA
Business Data Architect
  • Work closely with ETL developers to assist them with development life cycle and performance testing
  • Partner with IT architecture to integrate business data models into the development and change management processes
  • Develops data solutions by designing proposed process flow; defining data functional capabilities, performance, security, back-up, and recovery specifications
  • May manage team support of internal and external audiences which could include financial, client, operational and regulatory data
  • Contribute to technical resolution strategy discussions of Analytics Solutions and propose data flow, and ETL development methods and tools
  • May provide overall team direction
  • May manage Business Analysis and Reporting staff
New York, NY
Business Intelligence Data Architect
New York, NY
Hahn-Anderson
New York, NY
Business Intelligence Data Architect
  • Teradata DBA activities including high performance physical database design & performance tuning
  • Assist business development team with pre-sales activities and RFPs
  • Research data anomalies and engage business and operational stakeholders to develop solutions
  • Assist in the estimating and planning of projects
  • Lead analysis, architecture, design and development of data warehouse and business intelligence solutions
  • Collaborate with business and technical teams to create and implement industry leading solutions
  • Develops and maintains an enterprise-wide data dictionary
present
New York, NY
Senior Manager Business Intelligence Data Architect
New York, NY
Funk-Nader
present
New York, NY
Senior Manager Business Intelligence Data Architect
present
  • Identify problems, develop ideas and propose solutions within differing situations requiring analytical, evaluative or constructive thinking in daily work
  • Provide thought leadership, create position papers and participate on Architecture CoEs within ADM
  • Manage, lead, and mentor team members in the areas of data services, data design, data modeling
  • Work closely with Reporting Architects to design best in class data and reporting solutions
  • Develop unique solutions to address user data challenges
  • Prepare and present ideas and recommendations to colleagues and management
  • Load data into data structures using tools such as Oracle Data Integrator, Microsoft Integration Services, Oracle Golden Gate and/or Informatica, TSQL or similar tool (ETL)
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
California State University, Los Angeles
Bachelor’s Degree in Computer Science
Skills Skills
  • Experience with data profiling and data quality tools is
  • Well-respected and influential. (Able to influence senior managers as well as the organization at large to support important data projects.)
  • 10+ years of relevant data management experience (master data, metadata, data architecture, data governance, data quality)
  • Expert knowledge of SQL with Oracle and/or SQL Server databases
  • Experience with data analysis, data profiling and integration
  • Able to emphasize methodology, modeling, and governance. (Well-versed in the principles that support data management.)
  • Experience with data modelling tools (ERwin, PowerDesigner)
  • Master Data Management and/or Client Data Integration experience is an advantage
  • End-to-end data warehousing solutions experience
  • Technologically and politically neutral. (Vendor/product-neutral, with enough understanding of the broad range of technologies to engage in discussion with technical experts.)
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13 Business Data Architect resume templates

1

Business Intelligence Data Architect Resume Examples & Samples

  • Strong Computer Science/Engineering/ Information Systems background required. A Bachelor's degree or higher is required with a minimum of 10+ years of industry experience
  • 9+ years in data warehousing projects with at least 4 years of full life cycle experience in implementation and support of DW Solutions on Teradata or other MPP Platform
  • Hands on experience in data modeling; logical, physical and dimensional modeling
  • Hands on experience in Erwin Data modeling and Data Quality tool
  • Hands on experience with Teradata Physical design and performance tuning experience
  • Media and Entertainment Industry experience plus
2

Business Data Architect Resume Examples & Samples

  • Experience with data modelling tools (ERwin, PowerDesigner)
  • Expert knowledge of SQL with Oracle and/or SQL Server databases
  • Experience with data integration tools is a plus
  • Experience with data profiling and data quality tools is a plus
  • Solid experience in logical data modelling is required
  • Experience with data analysis, data profiling and integration
  • End-to-end data warehousing solutions experience
  • Master Data Management and/or Client Data Integration experience is an advantage
3

Data Warehousing & Business Intelligence Data Architect Resume Examples & Samples

  • Solicits, develops, documents and manages requirements throughout project and/or product life cycle up to and through change control
  • Create data mapping and data model
  • Develops custom solutions to business problems or customer engagements through in-depth analysis, coordination and negotiation with key decision makers
  • Conduct walkthroughs with stakeholders and obtain sign-offs
  • Solve problems considering business process and environmental changes
  • Review Technical Design documents and Test Plans
  • Work with technical resources and share business knowledge to assist in solution generation
  • Assists in managing the relationships between business and I/T
4

Business Data Architect Technology Director Resume Examples & Samples

  • Bachelor's degree or equivalent experience in an IT related field. Equivalent experience would be acceptable in lieu of education
  • 10-15 years prior management experience required
  • Extensive experience in Business Data Architecture, process improvement projects, including development of global business data architectures
  • Appropriate experience in enterprise data managements, and program execution
  • Extensive knowledge in building Master Data Management and Reference Data Management, platforms, Hadoop and Analytical platform
  • Should have a good understanding of information management tools - ETL, MDM, DQ, DW, BPM
  • Proficient on data modeling including logical, physical and canonical models with tool
5

Business Data Architect Resume Examples & Samples

  • Defining information requirements
  • Determining the source of data
  • Defining business rules and transformations
  • Moving, storing, formatting, and enabling access to the data
  • Review basic functionality of tools/systems/databases with data for sourcing
  • Review data model for employees. Look to create a To-Be global workforce data model for the firm for employees and CWs
  • Review with technology team the technology data architecture As-Is
  • Document As-Is data model and data dictionaries at a high-level
  • Create/define initial To-Be business data models and data dictionaries based on business processes and tools/systems/databases
  • Data architecture experience
  • Problem/issue resolution
  • Ability to think globally
  • Statistical tools, packages and/or modeling techniques
  • LOB knowledge
  • Business processes and procedures
  • Business applications and workflows
  • Multi-function disciplines
6

Business Intelligence Data Architect Resume Examples & Samples

  • Key concepts of data architecture particularly in the support of analytical and reporting
  • An understanding of enterprise data models
  • An understanding of data and application integration
  • Data storage/access models
7

Business Data Architect Resume Examples & Samples

  • Provide guidance to senior management on data initiatives needed to effectively support business strategy
  • Influence and engage with senior leaders in capturing and communicating data policies and rules
  • Work with the business to create models that represent the business view of the data, business rules, and data services needed to support business operations, analysis, and data quality initiatives
  • Partner with IT architecture to integrate business data models into the development and change management processes
  • Drive Master Data Management initiatives to close the gap between current state & future MDM goals
  • Well-respected and influential. (Able to influence senior managers as well as the organization at large to support important data projects.)
  • Able to emphasize methodology, modeling, and governance. (Well-versed in the principles that support data management.)
  • Technologically and politically neutral. (Vendor/product-neutral, with enough understanding of the broad range of technologies to engage in discussion with technical experts.)
  • Articulate, persuasive, and a good salesperson. (Skilled at clearly communicating ideas in a persuasive, compelling manner. Able to talk technology with developers, as well as talk business principles with executives.)
  • Enthusiastic. (Passionate for insuring that key business processes are supported by high quality data, and for helping the enterprise use data as a competitive advantage.)
  • Transformational leadership. (Ability to transform business and IT view of data as a competitive #and to provide data business requirements to support that view.)
8

Business Intelligence Data Architect Resume Examples & Samples

  • Hands on experience in Erwin Data modeling tool
  • Experience on various Data Profiling and Data Quality tools
  • Experience troubleshooting data related issues
  • Strong Computer Science/Engineering/ Information Systems background required. A Bachelor's degree or higher is required with a minimum of 12 years of industry experience
  • 9+ years in data warehousing projects with at least 5 years of full life cycle experience in implementation and support of DW Solutions on Teradata or other MPP Platform
  • Media and Entertainment Industry experience
  • Strong problem-solving and root cause analysis skills
  • Strong oral and written communication and influencing skills, with the ability to communicate new concepts and drive change in processes and behaviors and also to communicate complex technical topics to management and non-technical audiences
  • Self-motivated, well organized and has strong innovation and facilitation skills, especially in driving consensus among senior technical resources
  • Ability and desire to work within a cross-functional team environment with people from multiple business units, vendors, countries and cultures
  • Self-driven/self-initiator and resourceful to achieve goals independently as well as in teams and promotes an open flow of information so that all stakeholders are well informed
  • Demonstrates good personal time management skills, including punctuality, time reporting and completion of assigned tasks within agreed time frames
  • Ability to work independently under minimum supervision and proactive in solving issues
  • Energetic, committed and solution focused with the ability to perform under pressure and meeting target
  • Team player and has the ability to work in a global environment
9

Solution Architect Business Intelligence & Big Data Resume Examples & Samples

  • Work closely with service teams and business to drive clarity on functional and technical requirements
  • Work iteratively with the business teams by building prototypes/solutions to help articulate quality requirements wherever required
  • Collaborate with architects from platform and development teams to deliver end to end solutions in alignment with platform and development standards
  • Drive the implementation of solution with third party development teams
  • Stay current on leading technology trend in data processing, reporting and visualization space. Conduct POCs (proof of concept) aimed at evaluating tool capabilities and integration with other components in the stack
  • Big Data Technologies such as (BigQuery, Cloudera, Hive, HBase, Kafka, Pivotal, Redshift, Spark, Storm, Vertica, Yarn). Strong preference for Google BigQuery and DataFlow expertise
  • BI Technologies such as SQL Server, Analysis Services, ELT/ETL tools - Talend a big plus
  • Reporting & Analytics Suites such as Microstrategy, Tableau, Business Objects etc…
  • Application development, Java, J2EE, JSP, HTML, JavaScript, PL/SQL, XML, XSLT, Faces, XUL, C#, .NET, ASP, XMLSpy, IntelliJ, TextMate, iOS, XCode, Carbon, Cocoa, Objective C, C++, Ruby, Ruby on Rails, Sinatra, PHP, Python, Django, RubyMine, HAML, Scala, Erlang, IBM RAD, IBM Rational Rose, Eclipse, AJAX, Web Services, SOA, SOAP, REST, XML, PHP, Shell Scripting, Perl
  • Review code artifacts, test and cutover plans to ensure complete traceability to requirements and compliance to best practices and standards
  • Conduct effective knowledge sharing sessions with application support team and lead root cause analysis on post go-live issues
  • Establish and document coding standards, guidelines, and best practices for development teams building solutions
  • Application Security Tools: Knowledge of and ability to use application security tools to design, implement and maintain user security profiles
  • Basic Operating Systems: Knowledge of basic operating systems and all related aspects (e.g., system tools, management principles, platforms, software, hardware, related products and controls) required to design, implement and maintain infrastructure solutions
  • Data Code Management: Knowledge of and ability to apply data standards, codes maintenance procedures and sales volume reporting processes to establish, maintain and ensure integrity of a repository of standard values and codes for use in TCCC global applications and for Corporate reporting
  • Data Modeling: Knowledge of data modeling procedures and the ability to identify and clearly define the entities (e.g., persons, places, things, concepts and events) and associations between them about which the business must keep data
  • Functionality Testing: Knowledge of and ability to use testing methodologies, processes and tools for testing of functionality, including unit, integration, system, regression and dry run testing
  • Programming Languages and Tools: Ability to create program logic, perform tests and debug coded statements of a
  • Nature through the use of structured programming techniques. Includes an extensive knowledge of programming languages and development tools used within the organization and the ability to design systems and resolve problems advanced and complex in nature
  • Release Management: Ability to manage software releases incorporating new functionality, changes to existing functionality, software upgrades, support packages and other changes simultaneously to multiple global systems (e.g., SAP, BASIS, JD Edwards, Oracle, PeopleSoft)
  • Report Development: Knowledge of report writing tools and technologies (e.g., SAP, BASIS report writer, ABAP query). Includes the ability to use the tools and technologies to create, write and compile reports (e.g., single and multiple print lists, totals, levelbreaks)
  • Security Administration - Platform and Application: Knowledge of principles, relevance, tools and procedures of security administration
  • Software and Infrastructure Change Management: Ability to use the tools associated with change management (e.g., change management documents/forms, change management log). Includes the management of cross-functional departmental change requirements and coordination of the implementation of complex change requirements of a broad scope
  • Solution Configuration: Ability to provide advice and develop a detailed design and customized configuration to support new business processes and procedures. Knowledge of one or more modules in an ERP or other Packaged Software Solution (e.g., SAP, BASIS, JD Edwards, Oracle, PeopleSoft)
  • System Design: Knowledge of system design procedures and the ability to translate functional business requirements into an application system or process to meet the clients' needs that also meets all relevant Company standards
10

Business Intelligence Data Architect Resume Examples & Samples

  • Lead analysis, architecture, design and development of data warehouse and business intelligence solutions
  • Work independently or as part of a team to design and develop analytics/reporting solutions using SSRS, SSAS, PerformancePoint, PowerView and Excel/Excel Services
  • Assist in the estimating and planning of projects
  • Collaborate in the creation/enhancement of data platform solutions (Data Marts, Cubes) to facilitate decision making
  • Collaborate with client DW/BI/Reporting team to standardize reporting and analytics implementation(s) across a variety of business teams/users/constituents
  • Design and develop Integration (ETL, ELT, Data Governance, MDM) processes using MS SQL Server 2012 SSIS, DQS, MDM or other related tools/technologies
  • 5-10+ years of experience. We are seeking consultants/architects who specialize BI solution architecture, design, and development
  • Technical Specialization in: SQL Server Analysis Services, SQL Server Reporting Services, SQL Server Integration Services, SQL Server MDM, DQS and other related technologies, SharePoint and SharePoint integration with PerformancePoint Services, PowerView and Reporting Services, PowerPivot
  • Familiarity with database centric applications, elegantly engineered data warehouse solutions
  • Architecture: How to define non-functional requirements and ensure they are achieved
  • Microsoft BI (Business Intelligence) certification a plus
  • Experience with visualization tools (Tableau, Spotfire, Qlikview) and non-MS data integration tools (Informatica, Alteryx, Talend) is a plus
11

Business Intelligence Data Architect Resume Examples & Samples

  • Requirements definition and analysis: collects and researches specific client requirements for projects, identifies requirements, gathers workflow data and basic system and reporting specifications
  • Develops, implements, and supports common business processes and tools
  • Recommends basic alternatives to address problems
  • Assesses and manages risks to minimize impact to the overall operations and/or project
  • Provides functional direction in a particular area of the operation or project
  • Project planning and execution: participates in project management process, including participating in project meetings
  • May document issues, action items, user requirements, or deliverables from project meetings
  • Performs a variety of project related activities, including analysis or preparation of documentation and presentations
  • Plans and manages initiatives, proposals, or projects, including identifying project resource needs and roles
  • Accomplishes all work within established methodologies and standards
  • Strategic Planning and Implementation: Collaborates with functional/departmental team members to partner with the line business, KP-IT and ASM to define, design, and deliver on strategic solutions to meet critical business needs
  • Researches, analyzes, proposes and implements best practice processes and solutions
  • Business User/Owner Application Support: Provides 2nd and 3rd tier application support for assigned application(s)
  • Monitors production batch and ad hoc jobs as required to ensure proper functioning and completion of business operations
  • Researches and resolves technical and functional issues according to defined prioritization/severity scheme
  • Influences client and gains commitment to changes required
  • Account Management: Manages relationships with assigned customers/internal clients
  • As a change agent, works to drive culture change, client communications, and related work regarding system changes, implementations, and related business process impacts
  • Business and Process Improvement: Identifies opportunities for business or process improvement; makes associated recommendations and implements as appropriate
  • Minimum twelve (12) years of related professional experience
  • Enterprise level experience designing and deploying full BI stack; emphasis on data warehouse, subject area marts and related technologies
12

MDM / Business Layer Data Architect Resume Examples & Samples

  • Provide expertise and leadership on making technical decisions, mentoring junior team members, and focusing on delivering an architecture that provides business value
  • Ability to effectively communicate and collaborate with members of the business, technical and leadership teams
  • Ownership of the data model / solutions architecture for master data that can scale and grow
  • Ownership of the business layer which will grow and evolve over time
  • Oversee the technical architecture, data model, and performance of data solutions
  • Ability to influence change and enforce data best practices, standards, and governance
  • Full life cycle experience in Enterprise Architecture, Data Warehousing, Data Modeling, and Master Data Management
  • Must be able to delegate appropriately, including project management, development, testing and support
  • Must be able to assess scope and define timelines, plans, and roadmap
  • Analyze data architecture and integration solutions for improvement opportunities and challenges
  • Commitment to data quality and operational excellence
  • Promote a development environment that is agile, fast-paced, and iterative
  • Deep expertise in data integration platform architecture, configuration, best practices
  • Experience managing an enterprise-wide environment with numerous users and dependent systems
  • Excellent communication skills to ensure transfer of knowledge to integration developers
  • Experience designing and implementing MDM and BI solutions
  • Experience developing dimensions and integrating them with a data warehouse
  • Experience configuring data quality rules, scorecards, and indicators
  • Experience with audit trails showing all changes & approvals for key dimensions, such as Customer
  • Experience managing history across dimensions (SCD1, SCD2, snapshots)
  • Solid understanding of data warehouse design practices (Inmon, Kimball, Imhof models)
  • 10+ years of MDM, data warehouse and data integration experience
  • 5+ years in a data architect role
  • Experience with Oracle EBS R12
  • Experience with Oracle DRM: Data Relationship Management
13

Data & Business Intelligence Solution Architect Resume Examples & Samples

  • 75% - D&BI Project Solutioning and Delivery
  • This role is responsible for the design and delivery of the technical architecture of D&BI solutions in addition to the overall solution architecture for each assigned project
  • Ensure that the project solution architectures align with the enterprise D&BI target architecture positions and patterns
  • Ensure alignment to established documentation standards and design patterns
  • Participates in performing current state assesments and creation of D&BI Roadmaps for key stakeholders
  • Comfortable spanning multiple projects at the same time
  • 10% - D&BI Enterprise Architecture Alignment
  • Provides support in definition and maintenance of D&BI technology positions, patterns and principles, reference architectures, target architecture, and standards
  • Participates in the D&BI Sub Domain meetings
  • Architecture reviews ensure alignment to the target architecture as well as to understand and determine approval for variations
  • Responsible for the creation and maintence of standards, naming conventions, best practices for D&BI solutions
  • Participates in creation of high-level estimates for prospective D&BI solutions typically as part of the Cargill IT Demand Management process
  • Bachelors degree in Computer Science, Information Systems or related field, or equivalent experience
  • 7+ years of Business Intelligence architecture, development and/or management experience
  • Experience working in a fast paced and challenging environment, with multiple complex projects going on at one time
  • Experience performing design and development reviews
  • Experience balancing priorities between multiple complex projects concurrently
  • Demonstrated ability to define architectural concepts and standards
14

Senior Manager Business Intelligence Data Architect Resume Examples & Samples

  • Lead the technical planning and delivering of multiple projects
  • Able to work on simultaneous part-time projects without sacrificing delivery
  • Foster relationships and nurture partnerships with data management partners
  • Work with data warehouse and data integration teams to ensure successful delivery of enterprise data warehouse solutions
  • Identify problems, develop ideas and propose solutions within differing situations requiring analytical, evaluative or constructive thinking in daily work
  • Hands-on development, architecture and expertise with tools in the Oracle product suite
  • Document systems through data models, data definitions and naming conventions
  • Speak effectively before groups of business and IT personnel
  • Design data marts, data hubs, or any other data pattern needed to support the on-going development of the enterprise data warehouse
  • Provide fit-gap recommendations to teams when designing solutions to new requirements
  • Load data into data structures using tools such as Oracle Data Integrator, Microsoft Integration Services, Oracle Golden Gate and/or Informatica, TSQL or similar tool (ETL)
  • Develop unique solutions to address user data challenges
  • Work closely with Reporting Architects to design best in class data and reporting solutions
15

Business Intelligence Data Architect Resume Examples & Samples

  • Design, develop, implement and maintain data models and data processing logic based on customer requirements
  • Maintain the architecture blueprint for terminal BI solutions
  • Translate business requirements to user stories, technical requirements and data mart design
  • Design business rules and data quality rules and provide insight to the business of these internal business rules
  • Perform source system data profiling and data quality assessments
  • Analyze and interpret data for business and operational initiatives
  • Give advice and training around data governance, data quality, BI/analytics and big data
16

Senior Business Intelligence Data Architect Resume Examples & Samples

  • Develop industry leading solutions including
  • Determining analytic approaches to be used, defining the appropriate methodologies
  • Ensuring integrity of the analytical solutions in terms of the underlying data models and assumptions
  • Assessing the current analytic models and architectures, reviewing for gaps against business needs and industry best practices
  • Identifying detailed data needs, sources, and structure to support solution development
  • Designing and building effective data models from multiple data sources
  • Lead POCs to create breakthrough solutions, performing exploratory and targeted data analyses
  • Utilize Set Analysis when required for specific use cases
  • Design and build intuitive user interface designs in analytics/ data visualization tool
  • Work with business users and IT to validate business and technical requirements
  • Develop knowledge transfer documentation for long-term support
  • Establish sound timelines and deadlines on projects chosen for implementation
  • Coordinate with other team members but take accountability for overall delivery of Data Analytics projects
  • Support applications in production
  • Deliver regular reports to functional managers on project status
  • Manage issue resolution and escalation within both IT and functional areas
  • A flexible analytic approach that allows for producing results at varying levels of precision
  • Evidence of being able to transfer solutions to business stakeholders for successful adoption and value realization
  • Highly collaborative work style, with ability to provide leadership to a cross-functional team
  • Effectively communicating analyses, recommendations, status, and results to business management and executives in business terms
  • Ability to create structured problem statements and conceptualize potential solutions from rough specifications and information
  • Ability to propose analytic strategies and solutions that challenge and expand the thinking of the working team
  • Knowledge of predictive modeling concepts and disciplines
  • Knowledge of industry-leading practices
  • Familiarity with analyzing source system data and data flows
  • Familiarity with manipulating high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends
  • Understanding of relational databases
  • SQL and Data Modeling expertize
  • ETL skills (extract, transform, load), knowledge of Alteryx highly desirable
  • Experience working with Data Analytics and Visualization Tools (like Qlik Sense, QlikView, Tableau)
  • Ability to translate business needs into technical specifications
  • Critical thinking and ability to drive conclusions based on data findings
  • Bachelor' s degree required, Master’s degree preferred in computer science, data science
  • Ten (10) years of related experience in BI, data management required or an equivalent combination of relevant education and/or experience
17

Business Data Architect Resume Examples & Samples

  • Proven experience working with business units to capture business side data requirements, gaps, and opportunities
  • Database design, data maintenance, database security, Data mining concepts, extracts, data cube and performance tracking
  • Clearly understands data usage and how to document and communicate the requirements for reporting, analytics, data mining, transactional data systems
  • Experience in working with SQL, Hadoop, Teradata EDW, Teradata Aster and Informatica
  • Experience with advanced data profiling tools and metadata management tools
  • Worked on designing data environments targeted for data analysis, reporting, and transactional usage
  • Successful bridging the gap between the Business and IT to deliver successful programs
18

Business Intelligence Data Architect Resume Examples & Samples

  • Leads the gathering, analysis, documentation, and validation of business and / or technical needs using interviews, workshops, modeling techniques
  • Documents business and / or technical needs using advanced textual, and visual, modeling deliverables designed to help Save-A-Lot meet its strategic objectives, in accordance with the Software Development Life Cycle (SDLC) methodology
  • Facilitates medium to large sized groups of individuals, representing significant diversity in interest and level of leadership, to a common understanding of a solution
  • Lead team building and self-driven skill development through active participation in appropriate training, mentoring, and certification programs
  • Leads interaction with business owners, subject matter experts and project team members, collaborating to identify, develop, and document potential business and technology solutions
  • Identifies, manages, and tracks business and technical needs objectives throughout the project’s lifecycle
  • Identifies, evaluates, and communicates issues and risks, related to business processes to project, Technical Services and business unit management, developing mitigation strategies in collaboration with business and project team members
  • Demonstrates advanced understanding of assigned functional domains, and their integrations with other functional domains, while analyzing retail industry trends and researching functional best practices
  • Leads project or initiative tasks with relevant team members, stakeholders, and functional domain leadership
  • Leads day-to-day business interaction and business expectations in relationship to assigned deliverables, with the guidance of functional manager, project manager, and mentor
  • Develop collaborative relationships with business stakeholders, subject matter experts, functional domain leadership, and other Technical Services disciplines and service teams
  • Integrates with other disciplines and service teams to ensure integration of analyst deliverable and process improvement efforts
  • Assists with the development of content to support mentoring, skill building training, or tool related improvements
  • Demonstrates competencies as outlined in applicable Business Systems Analyst Specialties (see below)
  • Bachelor’s degree in Computer Science or a related discipline preferred
  • 6-8 years relevant work experience preferred
  • Preferred work experience in IT/Technical Services, retail or supply chain organizations
  • Excellent written and verbal communication skills, strong customer focus and demonstrated ability to work in geographically dispersed teams
  • Must have strong computer skills and be proficient in use of Microsoft Office applications
  • Demonstrates strong public speaking and presentation skills
  • Demonstrate advanced facilitation skills with the ability to drive toward common solutions
  • Demonstrate advanced interviewing, listening, and observational skills used to identify and define business and technical needs
  • Demonstrate strong analytical and conceptual skills used to evaluate information gathered from multiple sources, while reconciling discrepancies
  • Demonstrate strong analytical modeling skills (models that clearly and easily communicate concepts to customers)
  • Demonstrates effective technical system and business function documentation skills
  • Demonstrates ability to work under the direction of functional managers
  • Demonstrates the ability to bring applicable project aligned groups together and facilitate cross-group issues and potential competing priorities
  • Demonstrates ability to resolve complex problems, obtaining advice from key subject matter experts as needed
  • Advanced SQL query writing skills
  • Relational Database conceptual knowledge
  • Leads and enhances business process design efforts
  • Possesses advanced leadership and facilitation skills characterized by independent work and driving of results
19

Business Intelligence Data Architect Resume Examples & Samples

  • Overall accountability for the integrity of the DW data model
  • Expert in overall data model and how it can be effectively used to meet analytics needs
  • Define the overall BI data architecture, including Oracle databases, ETL processes, DW data marts and data lakes
  • Define data integration process and collaborate with business analyst for various project needs
  • Ensures consistency across projects and platforms
  • Develops and maintains an enterprise-wide data dictionary
  • Bachelor's degree in Computer Science or STEM (Science, Technology, Engineering, Math) majors, or 6+ years of equivalent work experience in IT
  • 5+ years hands-on development experience in Oracle and SQL databases with deep understanding of data warehousing and business intelligence
  • 5+ years’ hands-on experience in ETL (Talend) and SAP BI/Business Objects disciplines
  • Strong hands-on knowledge and experience in data architecture, data mining and large-scale data modeling
  • Experience building BI cubes and working with BI tools like SAP Business Objects
  • Background in data cleansing and data quality approaches
  • Understanding of the whole ecosystem in different systems and the presentation layer
  • Experience building data warehouses and BI solutions for Manufacturing companies and supply chain (shop floor, production, inventory, shipments)
  • Oracle Database 11i or higher
  • Reporting / Dashboard experience in SAP Business Objects and Dashboard Design (Xcelsius)
20

Business Solutions & Data Architect Resume Examples & Samples

  • Enterprise level data architecture and modeling experience, including a significant degree of cross system data design/solution experience
  • Demonstrated ability to conceptualize data concepts (both verbally, and on paper)
  • Demonstrated ability to translate data concepts into logical and physical data design artifacts (both verbally, and on paper)
  • Demonstrated ability to adjust their thinking when additional guidance/insight is received (e.g., guidance from an enterprise data architect, data steward and/or data controller)
  • Reviews and validates the Configuration Data Design concepts
  • Carries a comprehensive understanding of configuration platform and creates strategic roadmaps that address Cigna innovations, platform upgrades and opportunities to streamline / improve efficiencies
  • Supports and maintains the Configuration architectural framework
  • Drives the Integrated Configuration Design process; Checkpoints and Release Syncing activities to help identify conflicts, redundancies, and gaps across projects
  • Represents the Unified Product Platform (UPP) technical domain and provides subject matter expertise to help identify impacts, determine technical requirements, support design and alignment of technical and performance testing efforts
  • Serves as a point of contact responsible for Configuration Architecture needs and answering questions or sharing expertise
  • Partner in metrics reporting
  • Participate in business strategy and planning activity
  • As applicable, assist in defining project plans, dependencies, risk mitigation, and project status reports for complex or cross-functional processes
  • Provide insight into solutioning and best practices for process/procedure standardization
  • Support development and implementation of training and education tools
  • Provide timely and technically appropriate written communication to stakeholders (PM Business, project team, etc.) when necessary
  • Inform the PM of architectural design changes, capacity or other technical issues that may impact the project
  • Provide alternative solutions as necessary to assist in problem resolution
  • Agile Product Owner / Technical Lead Responsibilities
  • Analytical Problem Solving and Data Analysis
  • Bachelors Degree in technical area of focus required
  • 8-10 years combined business, technical analysis and architecture experience
  • Previous employee management experience, including strong people management skill sets
  • Proven ability to manage and mentor others. Viewed as a leader and mentor. Sought out for advice and council within and outside of direct team
  • Ability to work in a fast paced, demanding and rapidly changing environment
  • Familiarity with CIGNA products and benefits
  • Understanding of CIGNA systems and data repositories
  • Prefer strong experience working in a configurable platform, experience with designing, documenting and delivery (including communication and training) of a SDLC framework; as well as understanding of development and packaging of configuration
  • Ability to define standardized processes and ensure adherence to established processes across multiple teams
  • Root cause analysis of developmental defects and incidents and demonstrated ability to implement improvements for quality and efficiency
  • Ability to manage multiple developmental projects, overseeing initial impact assessments and determining level of effort and approach to completing the projects within the configuration team and across other development teams
  • Experience with assessment and assurance of integrated design across a configurable platform is a plus
  • Ability to foster collaboration, value others perspectives and gain support and buy-in for organizational proposals
  • Ability to lead and influence in a matrixed environment is critical
  • Ability to negotiate with peers and senior leaders to come to agreed upon and productive solutions to business problems
  • Strong business acumen, with proven ability to leverage knowledge base to quickly come up to speed in new business areas and new types of projects
  • Excellent oral, written presentation and communication skills
  • Excellent interpersonal, consulting and relationship management skills
  • Proven ability to create and further develop strong relationships with both business and IT leadership
  • Creative thinker with the ability to think outside the box and translate strategies into actions
21

Business Intelligence Data Architect Resume Examples & Samples

  • Intermediate level with 3 to 5 years of experience in Business Intelligence and DB Development
  • A bachelor’s degree in computer information systems, computer science or a related discipline
  • Microsoft MCP/MCSE certification is a plus but not required