Strategic Human Capital Data Analyst (Remote)

Bonneville Power Administration; Portland (OR); On-site; USD 85,000 - 120,000; Full time

Job summary

Bonneville Power Administration (BPA) seeks a Human Capital Data Analyst to turn workforce metrics into strategic insights and to design modern digital tools for executive decision-making. You will collaborate across BPA and the DOE to plan future staffing, support leadership with data-driven recommendations, and ensure data quality for reliable predictive models.

You will translate complex analyses into clear presentations for non-technical managers, lead autonomous projects, and help shape

Qualifications

• Experience extracting, synthesizing, and analyzing complex workforce data using analytics and visualization tools.
• Experience conducting workforce planning studies and evaluating staffing trends to develop actionable recommendations.
• Experience providing analytical advisory services, technical briefings, or strategic guidance to leadership on workforce management practices.

Responsibilities

• Design interactive data dashboards and tools to visualize workforce metrics for leadership.
• Lead cross-agency data collaborations to access essential statistics for workforce planning.
• Guide strategic executive decision-making with evidence-based recommendations.
• Serve as a trusted strategic HR advisor translating policy into practical business advice.
• Shape long-term workforce strategy including talent management and organizational studies.
• Modernize HR metrics and data integrity through guidelines for data quality.
• Translate technical insights into engaging presentations for non-technical managers.
• Drive high-impact projects autonomously from start to finish.

Skills

Data extraction and synthesis

Workforce analytics

Executive advisory

Job description

Bonneville Power Administration (BPA) seeks a Human Capital Data Analyst to turn workforce metrics into strategic insights and to design modern digital tools for executive decision-making. You will collaborate across BPA and the DOE to plan future staffing, support leadership with data-driven recommendations, and ensure data quality for reliable predictive models.

You will translate complex analyses into clear presentations for non-technical managers, lead autonomous projects, and help shape