We are seeking a senior, hands-on Data Analyst /Data Modeler with strong communication skills for a long-term hybrid assignment with our Sacramento, California-based client. This position requires that you be able to work on-site in Sacramento, California for at least 2 days/wk as determined by the client. Candidates must currently live within 60 miles of Sacramento, CA.
Key Duties/Responsibilities:
- Performs business and systems analysis and documentation
- Develops conceptual, logical, and dimensional data models for the enterprise data warehouse
- Experience with large data warehouse implementation projects
- Performs data modeling in relational and dimensional models
- Develops a physical data model and/or works with the architect to create a physical data model
- Develops Data Facts and Dimensions in the EDW
- Provides documentation to support the Kimball Dimensional Data Modeling Framework
- Visualizes and designs the enterprise data management framework specifies processes used to plan, acquire, maintain, use, archive, retrieve, control, and purge data
- Documents data flow diagrams in existing and future reports to use as input in report design and optimization
- Develops Requirements Specifications
- Develops Design Specifications
- Performs data analysis/predictive data modeling
- Mentors and educates team members on best practices and industry standards
- Senior, hands-on data modeler with strong communication skills.
- Expert level command of ER/STUDIO Data Architect modeling application
- Strong ability to articulate data modeling principles and gather requirements from non-technical business stakeholders
- Excellent presentation skills to different (business and technical) audiences ranging from senior level leadership to operational staff with no supervision
- Ability to translate business and functional requirements into technical requirements for technical team members.
- Candidate needs to be able to demonstrate, direct hands-on recent practical experience in the areas identified with specific examples.
- Performs business and systems analysis and documentation
- Develops conceptual, logical, and physical relational data models for the enterprise data warehouse
- Experience with large data warehouse implementation projects
- Performs data modeling in relational and dimensional models
- Develops physical data model and/or works with architect to develop physical data model
- Ability to expertly develop Data Facts and Dimensions in the EDW
- Provides documentation to support the Kimball Dimensional Data Modeling Framework, as necessary
- Visualizes and designs the enterprise data management framework: specifies processes used to plan, acquire, maintain, use, archive, retrieve, control, and purge data
- Documents data flow diagrams in existing and future reports to use as input in report design and optimization
- Develops Requirements Specifications
- Develops Design Specifications
- Performs data analysis/predictive data modeling
- Mentors and educates team members on best practices and industry standards
- Minimum of ten (10) years demonstrable experience in the data management space, with at least 5 years specializing in database design
- Minimum of five (5) years of experience as a data analyst or in other quantitative analysis or related disciplines, such as a researcher or data engineer, supportive of key duties/responsibilities identified above.
- Minimum of five (5) years of demonstrated experience with ER/Studio data modeling application
- Minimum of five (5) years of relevant experience in relational data modeling and dimensional data modeling, statistical analysis, and machine learning, supportive of key duties/responsibilities identified above.
- Excellent communication and collaboration skills to work effectively with stakeholders and team members.
- At least 2 years of experience working on Star, Snowflake, and/or Hybrid schemas
- Oracle/ODI/OCI/ADW experience required
- At least 2 years of experience working on Oracle Autonomous Data Warehouse (ADW), specifically installed in an OCI environment.
- Expert-level Kimball Dimensional Data Modeling experience
- Expert-level experience developing in Oracle SQL Developer or ER/Studio Data Architect for Oracle.
- Ability to develop and perform Extract, Transform, and Load (ETL) activities using Oracle tools and PL/SQL with at least 2 years of experience. Ability to perform technical leadership of an Oracle data warehouse team, including but not limited to ETL, requirements solicitation, DBA, data warehouse administration, and data analysis on a hands-on basis.