Analytics Analyst

Job Description

The People Analytics Analyst transforms HR data into strategic insights that support business decisions. As the Workday reporting expert, this role develops advanced reports, dashboards, and data solutions using Workday Prism and other analytics tools. The People Analytics Analyst will partner with HR leadership and business leaders to define workforce metrics, support strategic planning, and present actionable insights on trends and areas of concern.

This role also ensures data governance, compliance, and reporting best practices, while mentoring team members and continuously improving analytics capabilities. Provide timely and quality‑focused business analysis and assist business stakeholders and Project Managers to ensure the success of project delivery. Identify improvement initiatives and solutions and manage their implementation within the business. Understand business needs and opportunities, including a good understanding of business risk and the ability to perform and communicate feasibility studies.

• Plan all business and technical aspects of different data and analytics systems and platforms. Understand features and properties, ensure data integrity of new and existing tracking, and own the maintenance and administrative functions of these systems and platforms.
• Perform complex statistical analysis and utilize mining, modeling, and testing techniques to enable data analysis.
• Support key aspects of the data management system, including developing or operating key elements.
• Interpret the business need and identify solution recommendations to business problems at a business unit level. Lead the improvement efforts within span of control at this level.
• Contribute to the design and creation of reporting strategies and templates. Lead execution of complex reports, identifying and interpreting complex patterns and trends, and translating those insights into actionable recommendations.
• Communicate the actions needed to implement the function's strategy and business plan within the team; explain the relationship to the broader organization's mission, vision, and values and motivate people to commit to these and to do extraordinary things to achieve local business goals.
• Serve as a Workday reporting expert, building, testing, and maintaining advanced reports, discovery boards, dashboards, and scorecards for HR and business leaders.
• Design and build data solutions in Workday Prism to integrate internal and external datasets for reporting and decision support.
• Develop and manage dashboards covering headcount, turnover, talent acquisition, total rewards, and other key HR areas.
• Deliver actionable insights identifying workforce trends, risks, and opportunities.
• Partner with key HR areas, leadership, and business stakeholders to design workforce metrics and KPIs aligned with organizational strategy.
• Support strategic workforce planning initiatives, integrating reporting with scenario modeling and forecasting.
• Present findings and recommendations to leadership in a clear, compelling manner to drive decision‑making.
• Champion HR data governance standards and reporting best practices.
• Ensure compliance with regulatory and data privacy requirements (e.g., EEO, GDPR, SOX).
• Create and maintain documentation, metadata, and data dictionaries for HR reporting.
• Document “as is” and “to be” processes and describe the changes required to migrate to the “to be” capability, accurately recording the required changes.
• Contribute to exploring the development and implementation of data analysis and visualization tools (e.g., Qlik, Tableau, Visier).
• Coach and mentor less experienced associates.
• Troubleshoot system and data issues, taking ownership through resolution.
• Provide data governance direction and oversight for HR.
• Bachelor’s degree required (Master's preferred).
• Minimum of 3 years of experience in data management and reporting; 6 years preferred.

• High proficiency in SQL, Excel, or Access.
• Experience with Workday HCM and Adaptive Planning.
• Familiarity with statistical tools such as SPSS and SAS is a plus.
• Experience with data visualization tools (e.g., Tableau, Qlik, Visier).