Senior People Systems and Data Analyst

About this opportunity:

Freenome is seeking a highly analytical and systems-savvy Senior People Systems and Data Analyst to elevate our People data capabilities and drive insight-led decision-making. This role will own the development of dashboards, analytics, and reporting that provide visibility into workforce trends and inform hiring, retention, engagement, and organizational planning strategies. This individual will transform People data into actionable insights through advanced analytics, scalable dashboards, and strong data storytelling. While the role maintains ownership of People systems and data integrity, its primary focus is generating insights that enable better business decisions. The role reports to the Director, People Operations. This role will be a Hybrid role. What you’ll do:

• Develop, analyze, and interpret workforce data to identify trends, risks, and opportunities across recruiting, retention, performance, and engagement. - Conduct deep-dive analyses (attrition trends, hiring funnel performance, compensation insights, engagement drivers). - Build statistical and trend analyses across the employee lifecycle to proactively surface insights that influence People and business decisions. - Deliver actionable quarterly reporting that translates complex datasets into clear, executive-ready insights and recommendations. - Design, build, and maintain scalable and automated dashboards. - Establish consistent KPI definitions and reporting standards. - Improve data visualization practices to ensure clarity, usability, and impact. - Replace manual reporting processes with automated, real-time reporting solutions. - Ensure high levels of data accuracy, integrity, and trust. - Serve as primary People data and HRIS reporting expert. - Partner with IT and vendors to implement and manage integrations, evaluate new features, and identify opportunities to automate data workflows. - Manage data governance standards to ensure compliance and data privacy best practices. - Identify process improvements that enhance efficiency, data structure and accessibility. - Enable tier-zero employee and manager self-service for policies, processes, and data through systems and chatbots, reducing reliance on People team members and ticket systems. - Champion system education to drive employee and manager self-service adoption and data and systems utilization. - Drive AI initiatives such as deploying LLMs for job descriptions and ML to forecast attrition, ensuring tools are trained and continuously refined to be fit-for-purpose and remain within ethical and legal guardrails.