Sr. Workforce Intelligence Analyst

About the role

Business intelligence and data

• Build and maintain dashboards, reports, scorecards, data models, measures, and scalable reporting solutions.
• Analyze workforce composition, talent movement, retention, recruiting, engagement, and organizational health; develop actionable recommendations.
• Combine and transform data from HR and business sources; write and optimize SQL queries.
• Validate data, resolve discrepancies with data owners, apply governance and access requirements, and document definitions and limitations.

AI, partnership, and improvement

• Use approved AI assistants for analysis and documentation with appropriate human review; help build governed conversational and agentic self-service.
• Partner with product, data, technology, security, privacy, legal, and governance teams to evaluate responsible AI solutions.
• Clarify stakeholder needs, facilitate discovery, present findings, and enable users through demonstrations and documentation.
• Improve adoption and workflows, contribute reusable standards, support proofs of concept, and provide peer guidance.

Education and experience

• Bachelor’s degree in a related field; equivalent relevant experience is also considered.
• At least 7 years of experience in BI, reporting, data analysis, analytics engineering, or a related role.
• Stakeholder partnership translating needs into adopted reporting or self-service solutions is required.
• HR, workforce, or people analytics experience is strongly preferred.

Required skills

• Advanced Power BI or comparable BI platform proficiency, including dashboards, modeling, calculations, visualization, and publishing.
• Strong SQL and experience preparing, joining, transforming, and validating multiple data sources.
• Experience with semantic models, reusable measures, governed datasets, and scalable reporting.
• Strong visualization, user-centered design, analytical storytelling, complex-data analysis, and self-service BI skills.
• Working knowledge of data quality, metadata, governance, privacy, security, and role-based access.
• Understanding of workforce metrics, HR data, talent processes, and responsible use of approved AI tools.

Preferred skills

• Experience with Microsoft Fabric, Databricks, or comparable data preparation tools; HR systems such as Workday; or conversational analytics and AI agents.
• Working knowledge of Python or R, or experience in product adoption, user enablement, or analytics product management.

Compensation

• Base pay range is $99,100–$132,100; additional annual bonus or long-term incentives may be offered.