Senior Analyst, Topline Finance Analytics

Workday; United States; On-site; USD 95,000 - 130,000; Full time

Job summary

Workday, Inc. is seeking a Senior Analyst to own analytics that explain how our products drive growth. You will enable data-driven decisions and centralize reporting into a single source of truth.

The ideal candidate is meticulous about drilling into data, yet can simplify findings and present clear narratives to senior leadership. You will report to the Director, Topline Finance Analytics and partner across Finance, Product, and GTM teams to drive revenue insight and strategic decision making.

Qualifications

• Bachelor's degree in Finance, Economics, or related field.
• 4+ years of related progressive experience across strategic finance or data analytics.
• Hands-on SQL experience and a track record of turning data into clear, compelling narratives.

Responsibilities

• Own product performance reporting and deliver recurring KPI views (bookings/ARR, attach rates, win rates) at the product level.
• Lead deep dives on executive questions and package findings into clear, defensible narratives for senior leadership.
• Untangle large, complex datasets from multiple sources and validate data before analysis begins.
• Create one source of truth by collaborating with Enterprise Data Analytics and Product Finance teams on data definitions and reporting.
• Connect product performance to GTM by linking metrics to pipeline, sales motions, and discounting.
• Raise the bar by automating and scaling reporting workflows, leveraging AI tools as a force multiplier.

Skills

SQL

Data storytelling

Product analytics

Stakeholder management

Education

Bachelor's degree in Finance, Economics, or related field

Job description

Your work days are brighter here.

We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too.

About the Team

We are business finance professionals who love what we do and support the business both strategically and with operational excellence. Topline Finance sits at the center of how Workday understands its growth. We turn complex data into clear, actionable insight that shapes how leaders think about our product portfolio, go-to-market investment, and the future of the business. We're trusted partners to Finance, Product, and Sales leaders alike, and we bring rigor, curiosity, and genuine enjoyment to the work we do together.

About the Role

We're looking for a Senior Analyst to own the analytics that explain how our products drive growth. In this role, you will enable data-driven decisions and bring clarity by centralizing reporting into a single source of truth. The ideal candidate is meticulous about drilling into data and understanding it deeply, yet can simplify complex findings and land clear narratives with senior leadership. This role reports to the Director, Topline Finance Analytics.

In This Role, You Will

• Own product performance reporting. Deliver recurring reporting views on product KPIs, including bookings/ARR, attach rates, win rates and discounting at the product level. Shape the narrative and evolve the content with product strategy.
• Lead deep dives on executive questions. Take a broad question from leadership, design the analytical approach, find the right data for the analysis and package the findings into a clear, defensible answer for senior leadership.
• Untangle the data. Explore and understand large, complex datasets across sources that don't always agree. Identify the right data for each question, validate it, and piece it together into a reliable foundation before analysis begins.
• Create one source of truth. Partner with Enterprise Data Analytics and Product Finance teams on data definitions and how we measure the business. Build centralized reporting so everyone uses the same numbers.
• Connect product to GTM. Partner with GTM teams to link product performance to pipeline, sales motions and discounting, so leadership sees the full picture of how products are driving revenue.
• Raise the bar. Automate and scale reporting workflows, using AI tools as a force multiplier in your day-to-day work.

About You

You're a skilled collaborator who dives into complex, unstructured problems and comes out with answers leaders can act on. You're genuinely curious about how products are built, priced, and adopted, and you pair that business sense with real data fluency. You're equally comfortable writing SQL and presenting to executives.

Required Qualifications

• Bachelor's degree in Finance, Economics, or a related field.
• 4+ years of related progressive experience across strategic finance or data analytics.
• Hands-on SQL experience and a track record of turning data into clear, compelling narratives.

Preferred Qualifications

• Experience partnering with Product teams, with an understanding of how product strategy, pricing, packaging, and discounting drive topline outcomes.
• Deep understanding of SaaS business models and KPIs (ARR, ACV, bookings, attach rates, win rates, NRR) and how they inform reporting and decision-making.
• Strong attention to detail and fluency with large, messy datasets, with the curiosity to explore data and the rigor to validate and reconcile it across sources.
• Comfort with ambiguity and the ability to bring structure to open-ended questions.
• An AI-first mindset, with a drive to automate, scale, and continuously improve how work gets done.
• Strong cross-functional partnership skills, with the ability to build trusted relationships across Finance, Product, and GTM teams.
• Adaptability in a fast-paced environment, managing multiple workstreams and staying effective as priorities shift.

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