Sr. Workforce Intelligence Analyst

About the role

Business intelligence and reporting

• Design and maintain dashboards, reports, scorecards, and data products using Power BI or similar platforms.
• Translate business questions into analytical requirements, data models, measures, visualizations, and user experiences.
• Analyze workforce composition, talent movement, retention, recruiting, engagement, and organizational health; communicate findings as recommendations.
• Improve reporting based on user feedback, adoption, priorities, and business needs.

Data, AI, and stakeholder work

• Combine and transform HR and business data; develop semantic models, calculations, metric definitions, and reporting logic.
• Write and optimize SQL; validate data, investigate discrepancies, resolve quality issues, and document data and business rules.
• Apply governance, privacy, security, and access requirements to workforce intelligence products.
• Use approved AI assistants with human review and help develop governed conversational and agentic self-service experiences.
• Partner across business, HR, product, technology, security, privacy, legal, and governance teams to deliver and evaluate solutions.
• Present insights, enable users, improve adoption, automate recurring work, contribute to standards, and support proofs of concept and peer development.

Education and experience

• Bachelor's degree in a related field such as analytics, business intelligence, information systems, mathematics, HR, or business; equivalent relevant experience is considered.
• At least 7 years in business intelligence, reporting, data analysis, analytics engineering, or a related role.
• Experience translating stakeholder needs into adopted reporting or self-service solutions.
• Workforce, people analytics, or experience handling complex and sensitive business data is strongly preferred.

Required technical and business skills

• Advanced proficiency in Power BI or a comparable BI platform, including dashboards, modeling, calculations, visualization, and publishing.
• Strong SQL and experience preparing, joining, transforming, and validating data from multiple sources.
• Experience with semantic models, reusable measures, governed datasets, and scalable reporting.
• Knowledge of visualization, user-centered dashboards, analytical storytelling, and self-service BI.
• Ability to analyze complex data and produce evidence-based insights; working knowledge of data quality, metadata, governance, privacy, security, and role-based access.
• Comfort with approved AI tools, human validation, workforce metrics, HR data, and talent processes.
• Strong communication, collaboration, consulting, prioritization, project management, attention to detail, and intellectual curiosity.

Preferred qualifications

• Microsoft Fabric, Databricks, or comparable analytics and data preparation tools.
• HR systems or sources such as Workday, employee listening platforms, or recruiting systems.
• Conversational analytics, AI agents, natural-language query, retrieval-augmented generation, or governed self-service experience.
• Python or R for data preparation, automation, or exploratory analysis; product adoption, user enablement, or analytics product management.

Compensation

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