People Analytics Senior Advisor - Hybrid

About the Role

Key Responsibilities

• Build intuitive dashboards and self-service analytics products using enterprise platforms like Tableau and Power BI to visualize workforce trends and KPIs, focusing on strategic and repeatable products with occasional ad hoc requests.
• Deliver actionable, self-service insights through advanced people analytics to support talent strategy, workforce planning, and operational decision-making.
• Apply predictive modeling and statistics to identify trends and forecast talent outcomes such as financial opportunities, retention risk, and performance impact.
• Integrate and embed advanced analytics and/or artificial intelligence into existing HR People Analytics architecture to enhance analytics capabilities across the enterprise.
• Manage Tableau environment structure, monitoring, permissioning, and support system upgrades or problem resolution as needed.
• Review and manage Workday Prism Analytics jobs, including failure analysis and data updates related to retention and employee surveys.
• Design and manage data structures and pipelines supporting accurate, integrated, and reliable talent data across on-premise and cloud environments.
• Develop test plans, release plans, and performance indicators, and investigate/remediate analytic product and data issues.
• Lead proof-of-concept evaluations for new analytics technologies in the people analytics space.
• Oversee People Analytics technologies, including integrations with transactional platforms like Workday, and manage relationships with vendors and technology partners.
• Serve as a trusted advisor to HR and business leaders by shaping talent challenges into business opportunities through analytics, prioritizing requests, influencing data strategy, and driving product delivery.
• Mentor HR users with training and documentation to improve data literacy in People Analytics products.

Requirements

• Bachelor's degree; Masters Degree in Computer Science, Analytics, or Economics preferred.
• 12+ years of experience leading or directly participating in analytics teams; 15+ years with a mix of roles leading and influencing large cross-matrix partner groups preferred.
• Deep, hands-on experience gathering, processing, and interpreting talent/workforce data.
• Workday knowledge and experience with healthcare data, financial data, and external data stores preferred.
• Expertise in large-scale data structures, automation methodologies, visualization techniques, advanced analytic models, and metrics construction.
• Strong proficiency in SQL, Python, Tableau, and data systems such as SQL Server and AWS.
• Demonstrated experience with learning and implementing new technologies and products for large user bases.

Nice to Have

• Experience with leveraging external data stores.
• Experience with learning and implementing new technologies and products for hundreds of users.

Qualifications

• Bachelor's degree; Masters Degree in relevant fields preferred.

Benefits & Perks

• Not explicitly specified in the description.