Sr. Workforce Intelligence Analyst

About the role

Business intelligence and reporting

• Build and maintain dashboards, reports, scorecards, and data products using Power BI or similar platforms.
• Translate business questions into analytical requirements, models, measures, visualizations, and user experiences.
• Analyze workforce trends and develop concise recommendations tied to business decisions.
• Improve reporting based on user feedback, adoption, and evolving needs.

Data preparation and quality

• Combine and transform HR and business data into reliable analytical datasets; maintain semantic models, calculations, metrics, and reporting logic.
• Write and optimize SQL, validate data, investigate discrepancies, and work with data owners to resolve quality issues.
• Apply governance, privacy, security, and access requirements; document sources, definitions, transformations, assumptions, and limitations.

AI-enabled self-service

• Use approved AI assistants for requirements, code, documentation, quality checks, summaries, and content refinement with human review.
• Help build conversational, agentic, and natural-language self-service experiences grounded in governed data, approved metrics, and access rules.
• Evaluate usefulness, accuracy, transparency, adoption, and escalation needs; help users understand AI limitations.

Stakeholder partnership and improvement

• Clarify stakeholder needs, facilitate discovery, define success criteria, and prioritize practical BI solutions.
• Present complex information clearly and enable dashboard use through demonstrations, documentation, and education.
• Simplify recurring work, improve adoption, contribute standards, support proofs of concept, and provide peer guidance.

Education and experience

• Bachelor's degree in a related field; equivalent relevant experience will also be considered.
• At least 7 years in business intelligence, reporting, data analysis, analytics engineering, or a related role.
• Demonstrated stakeholder partnership delivering adopted reporting or self-service solutions.
• HR, workforce intelligence, people analytics, or other sensitive-data experience is strongly preferred.

Required skills

• Advanced Power BI or comparable BI proficiency, including dashboards, data modeling, calculations, visualization, and publishing.
• Strong SQL and experience preparing, joining, transforming, and validating data from multiple sources.
• Knowledge of semantic models, reusable measures, governed datasets, data quality, privacy, security, and access practices.
• Understanding of workforce metrics, self-service BI, analytical storytelling, and responsible AI use.

Preferred skills

• Microsoft Fabric, Databricks, Workday or other HR systems, conversational analytics, AI agents, Python or R, and product adoption experience are preferred.

Base pay

• The stated base pay range is $99,100–$132,100; no compensation cadence is specified.
• Additional compensation, such as an annual bonus or long-term incentive, may be offered.