About the role
At Gopuff, we are not just delivering convenience. We are redefining how the world shops. Since pioneering instant needs in 2013, we have empowered millions across the U.S. and U.K. to take back their time through fast, seamless, and reliable delivery. This transformation is driven by our tech-first mindset and an obsession with operational excellence. To continue shaping the future of commerce, we are looking for an exceptional Senior Manager - Analytics to join our mission. We win through collaboration, not competition, fostering a culture where curiosity and respect lead to shared success. Here, data is a tool for empowerment, not gatekeeping, and there is no room for arrogance. We are simply committed to helping one another make an impact. If you are a high performer who thrives in fast-paced environments, this is an opportunity to innovate and leave a lasting mark on one of the world's most disruptive industries. Ready to shape what's next? Let's go. \n
What you'll do: Grow and lead the UK analytics team - define the right team shape (analyst mix, seniority, coverage), make the hires, and develop them into a high-performing function. Own the UK analytical roadmap - translate commercial questions from across the business into work that gets used. Push back on requests that won't move the number; protect team capacity for work that will. Steward the existing data infrastructure - maintain and evolve our dbt models, Snowflake warehouse, and Databricks workflows. Ensure pipelines are reliable, well-documented, and trusted by the business. Partner with central data engineering on platform-level changes. Be a senior thought partner to the UK senior leadership team – sit alongside business leaders, not behind them. Bring a point of view on commercial trade-offs grounded in data. Raise the bar on rigour and impact – coach analysts on the right level of statistical rigour for the decision in front of them, on writing for executive audiences, and on holding their ground commercially.
What we're looking for: 8+ years of experience in analytics or data science, with 3+ years in a leadership role. Expert-level SQL and proficiency with modern data stack tools (dbt, Snowflake, Looker or similar). Experience building and managing analytics teams in high-growth consumer or delivery businesses. Commercial fluency. You understand what moves the numbers in a consumer business – frequency, retention, basket, margin, CAC – and you can identify which analyses will actually shift them and which won't. Ability to translate complex analytical findings into clear, actionable recommendations for non-technical stakeholders.
