Own and evolve the end-to-end people data architecture, including warehouse environments, ETL/ELT pipelines, data models, and governance.
Maintain a single source of truth for workforce metrics with standardized definitions, consistent logic, and strong data quality controls.
Lead the development, deployment, and maintenance of dashboards, reports, and analytics products that drive actionable insights for HR and business leaders.
Enable governed, secure, and intuitive self-service BI capabilities across the P&C organization.
Partner closely with People Operations, HRBPs, CoEs, IT, and Finance to ensure data alignment, integration, reconciliation, and system optimization.
Monitor data quality, platform performance, and user experience; implement continuous improvements.
Support foundational AI-readiness by structuring and documenting clean, high-quality people data assets.
Design dimensional models and curated data sets to support reporting, predictive analytics, and workforce planning.
Build scalable ETL/ELT pipelines using modern data engineering tools (e.g., dbt, Fivetran, Airflow).
Administer the BI platform (e.g., Tableau, Power BI, Looker), including governance, permissions, semantic layers, and performance optimization.
Develop advanced analytics solutions such as headcount forecasting, attrition modeling, compensation analysis, and talent flow insights.
Transform raw data into business-ready assets, enabling reporting, storytelling and decision support for senior executives.
Establish data governance practices, including metadata, lineage, definitions, and role-based access control.
Serve as a technical advisor for emerging use cases in AI, automation, and predictive analytics within the HR ecosystem.

Requirements

5+ years of experience in data engineering, BI development, workforce analytics, or a related quantitative discipline.
Hands-on experience designing and managing data warehouses, ETL/ELT pipelines, and dimensional data models.
Proficiency with SQL and modern data stack tools (Snowflake, Redshift, or similar).
Experience administering and developing in enterprise BI tools (Power BI, Tableau, or Looker).
Strong understanding of HR data structures (Workday, ATS, performance, compensation, learning, etc.).
Ability to translate business questions into data models, analytical approaches, and dashboards.
Demonstrated strengths in data governance, quality, and documentation.

Benefits

401(k) match
health insurance options
disability coverage
life insurance
unlimited paid time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data architectureETLELTdata modelsdata governancedata qualitypredictive analyticsdata warehousingSQLdata engineering

Soft skills

leadershipcollaborationcommunicationproblem-solvinganalytical thinkingattention to detailadaptabilitycritical thinkingproject managementstakeholder engagement