People Data Analyst, People Operations (Contract)

Illumio•Sunnyvale, CA

About The Position

Onwards Together! Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments – stopping the spread of attacks before they become disasters. Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running. Contract Role - 10-15 hours per week - Sunnyvale, CA Our Team's Vision: The People Operations team delivers a world‑class employee experience through trusted data, scalable systems, and operational excellence. As we continue to scale globally, our ability to make fast, confident, and compliant people decisions depends on a modern, well‑governed People data platform. The People Data Analyst is an individual contributor responsible for building, maintaining, and evolving the People data ecosystem in Microsoft Fabric. This role owns the technical backbone of People Analytics, ensuring data from Workday and connected systems is reliable, well‑modeled, secure, and analytics‑ready for leaders across the company. You will partner closely with People Operations, HRIS, Finance, IT, and Security to establish a durable People data foundation that supports self‑service analytics, executive reporting, and advanced workforce insights.

Requirements

5+ years of experience in analytics, data engineering, or People Analytics, with ownership of production data models and pipelines
Hands‑on experience with Microsoft Fabric (Data Factory, Lakehouse/Warehouse, semantic models) and Power BI
Strong SQL and data transformation experience; familiarity with modern data modeling practices (star schema, dimensional modeling)
Experience working with Workday data in an analytics context
Proven ability to translate ambiguous People questions into clear, scalable data solutions
Strong understanding of workforce metrics and employee lifecycle data in a high‑growth SaaS environment
Comfort partnering with senior stakeholders and influencing decisions through data
Operates independently with end‑to‑end ownership of a critical People data platform
Anticipates scale, risk, and future requirements rather than reacting to requests
Balances speed with rigor, documentation, and long-term maintainability
Bachelor’s degree or equivalent practical experience required

Nice To Haves

Experience in SaaS or global, multi‑country environments strongly preferred

Responsibilities

Architect, build, and maintain the end‑to‑end People data platform in Microsoft Fabric, including data ingestion, transformation, modeling, and semantic layers
Design scalable data pipelines that integrate Workday and connected People tools (e.g., ATS, performance, engagement, learning, case management)
Own ongoing platform reliability, performance optimization, and cost‑efficient data operations
Develop and maintain canonical People data models (employee lifecycle, headcount, attrition, mobility, compensation, DEI, compliance)
Establish data quality checks, monitoring, and issue‑resolution processes to ensure accuracy, completeness, and consistency
Partner with HRIS, Legal, Security, and IT to uphold data governance, access controls, and privacy requirements (GDPR, CCPA, SOC2)
Enable self‑service analytics through curated datasets and Power BI semantic models built on Fabric
Partner with People team to translate business questions into trusted datasets and scalable metrics
Support executive‑level reporting and recurring operating metrics (headcount, hiring, attrition, org health, workforce planning)
Act as the People data technical expert for People Operations, HRBPs, Total Rewards, and Talent teams
Collaborate with Finance Analytics and Enterprise Data teams to align People data with company‑wide metrics and standards
Influence roadmap decisions for People Analytics by anticipating future needs and platform evolution