Dice
Data Analyst/Data Modeling
Dice, Sacramento, California, United States, 95828
Job: Data Analyst/Data ModelingLocation: Hybrid 2 days a week onsite in Sacramento (must be able to relocate and be local by the time the job starts)Location: Sacramento, CA (Hybrid onsite work required)Two days a week in office required.Client will select which days of the week.Must live within 60-90 miles minimum from location.Requirements:
Senior, hands-on data modeler with strong communication skills.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.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 physical data model and/or works with architect to develop 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.Qualifications:
Mandatory:
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 researcher or data engineer supportive of key duties/responsibilities identified above.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 experience working on Star, Snowflake, and/or Hybrid schemas.Desired:
At least 2 years 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 with at least 2 years 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.
#J-18808-Ljbffr
Senior, hands-on data modeler with strong communication skills.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.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 physical data model and/or works with architect to develop 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.Qualifications:
Mandatory:
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 researcher or data engineer supportive of key duties/responsibilities identified above.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 experience working on Star, Snowflake, and/or Hybrid schemas.Desired:
At least 2 years 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 with at least 2 years 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.
#J-18808-Ljbffr