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Open nowFirst seen 6 days ago

Senior Data Modeler Sacramento, Ca

ESRhealthcare and EXEC STAFF RECRUITERS1,404 open roles

Where
Sacramento, California, United States
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Your applicationOpen nowSenior Data Modeler Sacramento, CaESRhealthcare and EXEC STAFF RECRUITERS · Sacramento, California, United States

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ESRhealthcare and EXEC STAFF RECRUITERS's own form.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: first seen 6 days ago

The posting

Senior Data Modeler Sacramento, California area. This position requires you to be able to work on-site in Sacramento, California, on Mondays and Wednesdays each week. Candidates must currently live within 60 miles of Sacramento, CA. Anyone else will be rejected.

Key Duties/Responsibilities:

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 a physical data model and/or works with the architect to develop a 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, specifying 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

Development Requirements Specifications

Develop Design Specifications

Performs data analysis/predictive data modeling

Mentors and education team members on best practices and industry standards

Mandatory Requirements:

* Minimum of ten (10) years demonstrable experience in the data management space, with at least 5 years specializing in database design and at least 5 years in data modeling.

* Senior, hands-on Data Modeler with strong communication skills.

* Expert-level command of the ER/STUDIO Data Architect modeling application

* Must have Oracle Data Integrator (ODI) experience.

* At least 2 year's experience working in Oracle Autonomous Data Warehouse (ADW), specifically installed in an OCI environment

* Strong ability to articulate data modeling principles and gather requirements from non-technical business stakeholders

* 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.

* 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.

* Excellent presentation skills to different (business and technical) audiences, ranging from Senior-level leadership to operational staff, with no supervision

* At least 2 years of experience working on Star, Snowflake, and/or Hybrid schemas

* 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 identified areas, with specific examples.

Required to have State/Gov experience

Desired:

* 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.

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