IT & Software

Lead Data Analyst

GoPuff

London · Greater London · United Kingdom

Overview

In this role you will lead analytical efforts to understand performance and customers, embedding findings into Category team decisions. You will answer complex questions with quantitative analysis and experiments, and influence EU leadership and category management with clear insights. You will collaborate with central Analytics & Data Engineering to build scalable data pipelines and models that support pricing and market intelligence. This position offers the chance to shape data-driven decision making across a fast-growing, disruptive business. You will champion data literacy and coach others to deliver impactful results.

Pay / Benefits
  • comprehensive medical, dental, vision
  • mental health support
  • RSUs
  • employee rewards
  • annual performance appraisal and bonus
Responsibilities
  • Develop measurement approaches to inform day-to-day decisions for the Category team
  • Answer business questions via quantitative analysis and experimentation
  • Influence strategic and tactical decisions through strong communication
  • Partner with central Analytics & Data Engineering to implement reliable data pipelines
  • Build models and tools to inform pricing strategies and margins
  • Collaborate with Customer Insights on research and embed learnings into Category teams
  • Coach and support teams to increase data literacy and drive data-driven decisions
  • Support and mentor other analysts to develop skills and deliver results
Key requirements
  • 5+ years in analytics or data science related to groceries, trading, marketing, or consumer products
  • Strong statistical analysis and experiment design
  • Bachelor's in Business, Mathematics, Statistics or quantitative discipline beneficial but not essential
  • Expert SQL and databases; able to query large data sets efficiently
  • Experience with dbt; Python or R; GitHub
  • BI experience (Looker preferred; LookML strongly preferred; Tableau, Power BI acceptable)
  • Strong communication, data visualization, and storytelling
  • Curiosity and ability to analyse data across multiple business dimensions
  • London-based role with ability to come to the office regularly
  • clear communication
  • data storytelling
  • curiosity
  • SQL
  • databases
  • dbt

Reference: WJ-747_30142404

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