

Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst/Data Modeler in Sacramento, CA, offering a 12-month contract at a competitive pay rate. Requires 10+ years in data management, 5+ years in data analysis, and experience with relational and dimensional data modeling.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
416
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ποΈ - Date discovered
August 21, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Hybrid
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Sacramento, CA
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π§ - Skills detailed
#Snowflake #Documentation #ML (Machine Learning) #Data Engineering #Leadership #Data Warehouse #Physical Data Model #Data Management #Data Analysis #Data Modeling #EDW (Enterprise Data Warehouse) #Dimensional Data Models #Database Design
Role description
Title: Data Analyst / Data Modeler
Location: Sacramento, CA (Hybrid)
Duration: 12 Months Contract
β’ 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.
β’ This position requires that you be able to work on-site in Sacramento, California for at least 2 days/week as determined by the client.
Key Duties/Responsibilities:
β’ Performs business and systems analysis and documentation
β’ Develops conceptual, logical, and dimensional data models for the enterprise data warehouse
β’ Experience with large data warehouse implementation projects
β’ Performs data modeling in relational and dimensional models
β’ Develops physical data model and/or works with architect to develop physical data model
β’ Develops Data Facts and Dimensions in the EDW
β’ Provides documentation to support the Kimball Dimensional Data Modeling Framework
β’ Visualizes and designs the enterprise data management framework specifies processes used to plan, acquire, maintain, use, archive, retrieve, control, and purge data
β’ Documents data flow diagrams in existing and future reports to use as input in report design and optimization
β’ Development Requirements Specifications
β’ Develop Design Specifications
β’ Performs data analysis/predictive data modeling
β’ Mentors and Education team members on best practices and industry standards
Requirements:
β’ Excellent communication and collaboration skills to work effectively with stakeholders and team members.
β’ Ability to demonstrate, direct hands-on recent practical experience in the areas identified with specific examples.
β’ Minimum of ten (10) years demonstrable experience in the data management space with at least 5 years specializing in database design
β’ 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 in the job description above.
β’ 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 in the job description above.
β’ At least 2 years' experience working on Star, Snowflake, and/or Hybrid schemas
β’ Strong ability to articulate data modeling principles and gather requirements from non-technical business stakeholders
β’ Excellent presentation skills to different (business and technical) audiences ranging from senior level leadership to operational staff with no supervision
β’ Ability to translate business and functional requirements into technical requirements for technical team members.
Title: Data Analyst / Data Modeler
Location: Sacramento, CA (Hybrid)
Duration: 12 Months Contract
β’ 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.
β’ This position requires that you be able to work on-site in Sacramento, California for at least 2 days/week as determined by the client.
Key Duties/Responsibilities:
β’ Performs business and systems analysis and documentation
β’ Develops conceptual, logical, and dimensional data models for the enterprise data warehouse
β’ Experience with large data warehouse implementation projects
β’ Performs data modeling in relational and dimensional models
β’ Develops physical data model and/or works with architect to develop physical data model
β’ Develops Data Facts and Dimensions in the EDW
β’ Provides documentation to support the Kimball Dimensional Data Modeling Framework
β’ Visualizes and designs the enterprise data management framework specifies processes used to plan, acquire, maintain, use, archive, retrieve, control, and purge data
β’ Documents data flow diagrams in existing and future reports to use as input in report design and optimization
β’ Development Requirements Specifications
β’ Develop Design Specifications
β’ Performs data analysis/predictive data modeling
β’ Mentors and Education team members on best practices and industry standards
Requirements:
β’ Excellent communication and collaboration skills to work effectively with stakeholders and team members.
β’ Ability to demonstrate, direct hands-on recent practical experience in the areas identified with specific examples.
β’ Minimum of ten (10) years demonstrable experience in the data management space with at least 5 years specializing in database design
β’ 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 in the job description above.
β’ 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 in the job description above.
β’ At least 2 years' experience working on Star, Snowflake, and/or Hybrid schemas
β’ Strong ability to articulate data modeling principles and gather requirements from non-technical business stakeholders
β’ Excellent presentation skills to different (business and technical) audiences ranging from senior level leadership to operational staff with no supervision
β’ Ability to translate business and functional requirements into technical requirements for technical team members.