ManpowerGroup Global, Inc.
Data Modeler - Design Semantic Models
ManpowerGroup Global, Inc., Wind Lake, Wisconsin, United States
Position:
Data Modeler for Self‑service BI Location:
Washington, DC Duration:
testimonials 4 month contract with possible extension Hybrid:
Ideally, 3 days/week onsite.
Job Summary The Data Modeler will be responsible for designing, implementing, and governing analytical data models that enable business users to independently explore data, build reports, and derive insights while maintaining enterprise standards for data quality, consistency, and security. This role focuses on creating intuitive, reusable, and well‑documented dimensional models and semantic layers that balance self‑service flexibility with strong data governance. The Data Modeler will work closely with the CDW team (which consists of data engineers, BI developers, data governance SMEs) and business stakeholders to operationalize a scalable self‑service BI ecosystem.
Key Responsibilities Self‑Service‑Oriented Data Modeling
Design and maintain dimensional data models (star and snowflake schemas) that are intuitive for business users and optimized for self‑service analytics.
Define certified datasets, conformed dimensions, and standardized fact tables to enable consistent cross‑functional reporting.
Establish clear grain, metric definitions, and usage guidance to minimize misinterpretation by non‑technical users.
Semantic Layer and BI Enablement
Design and implement semantic models, metrics layers, and reusable calculations.
Ensure data models support drag‑and‑drop analytics, ad‑hoc exploration, and governed customization.
Optimize models for performance and usability in Power BI.
Business enablement
Collaborate with business users, analysts, and citizen developers to understand analytical needs and common use cases.
Provide guidance and best practices for leveraging certified datasets in self‑service BI tools.
Support training and enablement initiatives for the business citizen developers.
Data governance and guardrails
Apply data governance standards, naming conventions, and modeling best practices.
Align data models with business glossaries, data catalogs, and metadata management tools.
Support role‑based access control, data security, and privacy requirements within analytical models.
Participate in data quality monitoring and remediation efforts.
Collaboration with Data Engineering
Work closely with data engineers to ensure data pipelines support
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Data Modeler for Self‑service BI Location:
Washington, DC Duration:
testimonials 4 month contract with possible extension Hybrid:
Ideally, 3 days/week onsite.
Job Summary The Data Modeler will be responsible for designing, implementing, and governing analytical data models that enable business users to independently explore data, build reports, and derive insights while maintaining enterprise standards for data quality, consistency, and security. This role focuses on creating intuitive, reusable, and well‑documented dimensional models and semantic layers that balance self‑service flexibility with strong data governance. The Data Modeler will work closely with the CDW team (which consists of data engineers, BI developers, data governance SMEs) and business stakeholders to operationalize a scalable self‑service BI ecosystem.
Key Responsibilities Self‑Service‑Oriented Data Modeling
Design and maintain dimensional data models (star and snowflake schemas) that are intuitive for business users and optimized for self‑service analytics.
Define certified datasets, conformed dimensions, and standardized fact tables to enable consistent cross‑functional reporting.
Establish clear grain, metric definitions, and usage guidance to minimize misinterpretation by non‑technical users.
Semantic Layer and BI Enablement
Design and implement semantic models, metrics layers, and reusable calculations.
Ensure data models support drag‑and‑drop analytics, ad‑hoc exploration, and governed customization.
Optimize models for performance and usability in Power BI.
Business enablement
Collaborate with business users, analysts, and citizen developers to understand analytical needs and common use cases.
Provide guidance and best practices for leveraging certified datasets in self‑service BI tools.
Support training and enablement initiatives for the business citizen developers.
Data governance and guardrails
Apply data governance standards, naming conventions, and modeling best practices.
Align data models with business glossaries, data catalogs, and metadata management tools.
Support role‑based access control, data security, and privacy requirements within analytical models.
Participate in data quality monitoring and remediation efforts.
Collaboration with Data Engineering
Work closely with data engineers to ensure data pipelines support
#J-18808-Ljbffr