Data Analyst 3, People Analytics

Role Overview

• Partner with cross‑functional stakeholders to intake, catalog, prioritize, and deliver enhancements to metrics, reports, dashboards, discovery boards, and analytical tools.
• Develop a strong understanding of enterprise people initiatives and business priorities to connect insights across multiple workstreams and domains.
• Proactively manage analytical projects end‑to‑end, maintaining a consistent cadence of communication, alignment, and updates with stakeholders.
• Analyze complex, enterprise‑wide business questions and deliver insights related to workforce health, operational effectiveness, and employee experience.
• Collaborate with analytics teammates and business partners to deliver high‑quality, scalable solutions and recommendations.
• Bring data to life through clear storytelling, tailoring insights for audiences with varying levels of technical expertise, including senior leaders.
• Balance and reconcile competing stakeholder needs in a fast‑paced environment, prioritizing work based on enterprise impact and strategic value.
• Provide KPI definitions, analytical interpretation, and insight development to support leadership and executive‑level presentations.
• Leverage large, complex data sets to define and refine metrics that meaningfully track outcomes across the employee lifecycle.
• Continuously assess the effectiveness of the analytics tool stack, monitor data quality, and partner with stakeholders to drive adoption and usability.
• Serve as a subject-matter expert in Workday Reporting & Prism, Looker, and Google Cloud Platform, ensuring data is accurate, efficient, and decision ready.

Requirements

• 3+ years of professional experience analyzing complex datasets, drawing conclusions, and making business focused recommendations.
• 3+ years of experience extracting and manipulating large datasets using SQL.
• Hands‑on experience with Workday reporting, Workday Prism pipelines, discovery boards, Looker, and people analytics datasets.
• Proficiency in at least one statistical or programming language (Python or R preferred) to independently analyze and summarize data.
• Strong written and verbal communication skills, with the ability to influence across functions and levels.
• Understanding of HR, workforce, or people related data domains; exposure to broader business or operational analytics is a plus.
• Bachelor’s degree in data analytics, statistics, economics, or a related field preferred.

Tech Stack

• Cloud
• Google Cloud Platform
• Python
• SQL

Benefits

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources