Partner with HR leaders and key stakeholders to understand business questions and translate them into clear analytical deliverables.
Develop and maintain HR dashboards and reports that track key workforce metrics (e.g. hiring, turnover, diversity, performance, engagement).
Create high-quality PowerPoint presentations and executive-ready materials that clearly communicate insights, trends, and recommendations.
Visualize complex people data in intuitive and compelling ways to support leadership decision-making.
Perform descriptive and diagnostic analysis to identify patterns, drivers, and areas of opportunity in workforce data.
Support ad hoc reporting and analysis requests with a strong focus on accuracy, clarity, and timeliness.
Collaborate with more technical team members (data engineers, data scientists) as needed to source and structure data.
Help establish standards and best practices for HR reporting, data visualization, and insight delivery.
Contribute to the ongoing improvement of people analytics processes, templates, and storytelling approaches.
Requirements
Bachelor’s degree in Business, Analytics, HR, Economics, or a related field with 3+ years of experience in analytics, reporting, business intelligence, or people analytics roles.
Alternatively, a Master’s degree in the same fields with 2+ years of relevant analytics experience would be considered.
3+ years of experience writing SQL and working with structured datasets.
2+ years of experience with Power BI (or comparable business intelligence tools) developing dashboards and executive-level reporting.
2+ years of experience in HR analytics or workforce analytics, including analysis of turnover, hiring, performance, engagement, or related workforce metrics.
Experience working with Workday reporting and/or Workday People Analytics SKU strongly preferred.
Demonstrated experience translating business questions into analytical deliverables and partnering directly with stakeholders to inform decision-making.
Proven ability to create executive-ready presentations and communicate insights clearly and concisely to senior leaders.
Strong experience with data visualization best practices and storytelling techniques to effectively communicate complex data to varied audiences.
Ability to work independently with minimal direction, manage multiple priorities, and deliver accurate, high-quality outputs in a fast-paced environment.
Experience helping define or improve reporting standards, templates, or analytical processes preferred.
Strong collaboration skills and ability to work cross-functionally with technical partners (e.g., data engineers, data scientists).