Gopuff

data analyst for grocery pricing

In short

Lead-level analytics role at an ecommerce/grocery company, focused on pricing strategy, measurement, and experimentation, with cross-functional influence over leadership decisions. Requires 5+ years of analytics/data science experience, expert SQL, statistical analysis and experiment design skills, and BI tool experience (Looker, Tableau, or Power BI). Includes coaching and mentoring of analysts. Hybrid role based in London.

About the Role
Описания нет
Задачи
•Develop innovative measurement and analytical approaches to understand performance and customers, and embed findings into day-to-day decision-making
•Answer complex business questions through quantitative analysis and experimentation, extracting actionable insights
•Influence strategic and tactical decisions across leadership and cross-functional teams, identifying opportunities for improvement
•Partner with Analytics and Data Engineering teams to implement reliable, scalable data pipelines for essential information
•Build models and tools to inform pricing strategies, support competitive positioning, and maximize margin opportunities
•Partner with Customer Insights teams on customer and competitor research, integrating findings into operational workflows
•Build a data-driven decision-making culture and improve teams' data literacy and confidence
•Coach and mentor analysts to develop their skills and deliver high-quality results
Требования
•5+ Years of experience in analytics or data science
•Strong understanding of statistical analysis and experiment design
•Expert SQL and database skills, including writing structured, efficient queries on large datasets
•Experience developing with BI platforms such as Looker, Tableau, or Power BI
•Strong communication skills and knowledge of data visualization and storytelling
•Curiosity and comfort gathering and analyzing large amounts of data across business dimensions
•The role is London-based; candidates should ideally be based in or around London or able to attend the office regularly
Будет плюсом
•Experience in grocery, trading, marketing, or consumer products
•A degree in Business, Mathematics, Statistics, or another quantitative discipline
•dbt
•Python or R
•GitHub
•Looker and LookML
Условия
•Comprehensive medical, dental, vision, and mental health support for eligible employees
•Company RSUs (Restricted Stock Units)
•Employee rewards, including brand partnership deals
•Annual performance appraisal and bonus

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