Director, People Analytics and Reporting

Job Title

Director, People Analytics and Reporting

Job Description Summary

We are looking for an experienced Director of People Analytics & Reporting to drive the next phase of our data-driven HR journey. This role reporting to the VP, People Digital Services and Analytics combines strategic leadership with hands-on execution: you will shape our people-analytics strategy, lead a team of analysts and data engineers, and deliver actionable insights through Workday and modern analytics technologies. The ideal candidate brings strong HR domain knowledge, Workday expertise, deep analytics background and a track record of translating complex data into clear, impactful narratives for business leaders.

Job Description

Responsibilities:

• Data & Analytics Strategy
  • Develop and execute a people-analytics strategy aligned to HR and business goals, enhancing our existing people-data platform to maximize use of Workday native technologies and leveraging new age platform capabilities into a unified analytics environment.
  • Continuously improve data transformation and reporting processes to support data-driven decision making across the employee lifecycle.
• Team Leadership & Delivery
  • Manage and mentor a high-performing team of data analysts and engineers; provide clear direction and growth opportunities.
  • Oversee analytics projects from conception through completion, ensuring timely delivery within budget and meeting business requirements.
  • Oversee the development and maintenance of People Data Mart (Snowflake/Databricks) leveraging a combination of internal and vendor resources
• Reporting & Visualization
  • Direct the creation of robust HR reporting frameworks and interactive dashboards, delivering timely and accurate people metrics and trends.
  • Leverage advanced data-visualization tools—especially Microsoft Power BI—to present complex workforce insights in a clear, compelling manner for stakeholders.
• Advanced Analytics & Insights
  • Oversee the development of predictive and prescriptive models to uncover key workforce trends (e.g. talent acquisition, engagement, performance, retention).
  • Translate complex data findings into actionable insights and strategic recommendations that inform HR programs and leadership decisions.
• Stakeholder Collaboration
  • Partner closely with HR Centers of Excellence, business unit leaders and IT to understand data needs and develop tailored solutions.
  • Serve as a primary point of contact for people-data initiatives and effectively communicate complex analytics concepts to non-technical stakeholders and senior executives.
• Technology & Data Governance
  • Evaluate and implement modern HR analytics tools and platform, ensuring optimal use of technology to enhance reporting and analytics capabilities.
  • Champion strong data governance, privacy and data-quality practices across all HR data systems. Maintain vendor relationships and stay current on emerging technologies (e.g. AI/ML) to advance our people-analytics maturity.

Qualifications:

• Experience: 10+ years in data analytics, business intelligence or HR analytics, with a successful track record of developing and deploying data solutions in complex environments.
• People-Analytics Expertise: Demonstrated success leading analytics initiatives that drive strategic HR insights. Deep understanding of HR processes and metrics.
• Leadership & Project Management: Experience managing and scaling teams of analysts and engineers; proven ability to prioritize resources, create project roadmaps and deliver multiple analytics projects on time and within budget. Mentor and coach resources to build a high performing team.
• Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics or related field; Master’s degree or MBA is a plus.
• Communication Skills: Strong interpersonal and communication skills, including the ability to convey complex data insights to non-technical audiences and senior leaders in clear, compelling presentations.

Technical Skills & Tools:

• Data Integration & ETL: Hands-on experience with data integration and ETL/ELT processes; familiarity with tools such as Fivetran to replicate Workday data efficiently into cloud data warehouses (reducing engineering effort and enabling change data capture).
• Data Warehousing & Big Data: Experience with modern data-warehousing and big-data technologies (e.g. Snowflake, Databricks), using platforms that enable seamless