Senior Analyst – Product Growth Analytics

Job Description

Senior Analyst, Topline Finance Analytics | Workday

The Tone:
This is a full-time role at Workday, located in San Francisco, CA, with a hybrid work approach. Workday is a Fortune 500 company and a leading AI platform for managing people, money, and agents, shaping the future of work. This role is crucial for understanding Workday’s growth by turning complex data into clear, actionable insights that influence product portfolio, go-to-market investment, and the business’s future.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: Hybrid – San Francisco, CA
• Pay: $111000–$197200 yearly
• Team: Reports to the Director, Topline Finance Analytics
• Mission: Own the analytics that explain how Workday’s products drive growth, enabling data-driven decisions and bringing clarity.
• Tech Stack: SQL, AI tools

What You’ll Actually Do
• Product Performance: Own product performance reporting, delivering recurring reporting views on product KPIs and evolving the content with product strategy.
• Executive Insights: Lead deep dives on executive questions by designing analytical approaches, finding the right data, and packaging findings into clear, defensible answers.
• Data Exploration: Untangle large, complex datasets across various sources, identifying, validating, and piecing them together into a reliable foundation.
• Data Governance: Create one source of truth by partnering with Enterprise Data Analytics and Product Finance teams on data definitions and building centralized reporting.
• Revenue Connection: Partner with Go-to-Market teams to link product performance to pipeline, sales motions, and discounting, providing leadership with a full revenue picture.

The Must-Haves
• Background: Bachelor’s degree in Finance, Economics, or a related field, with progressive experience across strategic finance or data analytics.
• Experience: 4+ years of related experience and a track record of turning data into clear, compelling narratives.
• Skills: Hands-on SQL experience, genuine curiosity about product development and adoption, data fluency, comfort presenting to executives, strong attention to detail with large datasets, and cross-functional partnership skills.
• Bonus: Experience partnering with Product teams, deep understanding of SaaS business models and KPIs, and an AI-first mindset.