Senior Analyst - Data & Analytics

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27.

Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.

This type of work—work that changes the world—is what the tech industry was founded on.

So, if you're ready to seize the endless opportunities and leave your mark, come join us.

• Lead the full lifecycle of people analytics projects — from gathering stakeholder requirements to delivering scalable, validated, and actionable insights that guide business and talent strategy.
• Design, build, and deploy executive-ready analytics dashboards by leveraging AI and GenAI tools (including Claude) to rapidly prototype and implement custom web-based solutions — delivering intelligent, self-serve analytics experiences without the constraints of traditional BI platforms.
• Explore, prototype, and deploy AI powered analytics solutions to support workforce planning, attrition prediction, and people insights at scale.
• Partner with HRIS, IT, and business leaders to drive data integrity, governance, and seamless integration across core HR systems (e.g., Workday, Greenhouse), ensuring the analytical foundation is reliable and audit-ready.
• Translate complex data findings into compelling narratives and strategic recommendations for senior leadership and cross-functional teams — making the story behind the numbers as rigorous as the numbers themselves.
• Serve as an internal subject matter expert on HR processes — including talent acquisition, performance, compensation, engagement, and workforce planning — ensuring analytics outputs are grounded in real people strategy, not just data availability.
• Set standards for analytical excellence, promote AI literacy across the People team, and upskill stakeholders on how to interpret and act on AI-generated insights.
• Champion a culture of data-driven inquiry and continuous improvement, proactively identifying new opportunities to apply analytics where it creates the most organizational value.
• Demonstrated, wide-ranging experience in a people or workforce analytics function, with a strong track record of leading complex, end-to-end analytical projects from ambiguous problem to clear business outcome.