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Remote role · lead-dat

Lead Data Analyst

Gopuff

hybrid,London, EnglandDataFull-time
Before you apply

Role details

The practical picture
Work arrangement
Hybrid
Employment
Full-time

Work & location

Office locations
London, London, England, GB
Office attendance
come to the office on a regular basis

Experience & eligibility

Experience
5+ years of experience in analytics or data science - preferably in fields related to grocery, trading, marketing, or consumer product.
Skills
  • SQL
  • Data Analysis
  • Statistical Analysis
  • Python
  • dbt
  • Looker
  • Tableau
  • Power BI
  • Machine Learning
  • Data Visualization

Compensation & benefits

Benefits
comprehensive medical, dental, vision and Mental health support
Bonus / commission
Annual performance appraisal and bonus
Equity
Company RSUs (Restricted Stock Units)

Inside the role

Department
Analytics & Data Engineering
Role signal brief

The role, at a glance

Extracted from the source posting · 95% confidence

The Lead Data Analyst role at Gopuff focuses on developing advanced analytics, quantitative analysis, and data pipelines to support strategic decision-making. The position involves mentoring other analysts, building a data-driven culture, and partnering with cross-functional teams to embed insights into operational workflows. The role is hybrid-based in London, requiring regular office attendance.

What you need

  • 5+ years of experience in analytics or data science
  • Expert skills in SQL and databases
  • Strong understanding of statistical analysis and experiment design

What you will own

  • Develop measurement and analytical approaches to understand performance and customers
  • Answer complex business questions through quantitative analysis and experimentation
  • Influence strategic and tactical decision-making among leadership and cross-functional teams
  • Implement reliable and scalable data pipelines with Analytics & Data Engineering teams
  • Build models and tools to inform pricing strategies
  • Support customer and competitor research projects with Customer Insights teams
Core skills
SQLData AnalysisStatistical AnalysisPythondbtLookerTableauPower BIMachine LearningData Visualization
Internal freshness window ends Oct 21, 2026
View source evidence
  • attendance_requirement “able to come to the office on a regular basis”
  • benefits “comprehensive medical, dental, vision and Mental health support to all eligible employees.”
  • department “partner for central Analytics & Data Engineering teams”
  • equity “Company RSUs (Restricted Stock Units).”
  • incentive_compensation “Annual performance appraisal and bonus.”
  • job_locations “The role will be London-based”
  • location “hybrid,London, England”
  • must_have “5+ years of experience in analytics or data science”
  • must_have “Expert skills in SQL and databases”
  • skills “Expert skills in SQL and databases, able to write structured and efficient queries”
  • workplace_type “The role will be London-based, with the candidate ideally based in/around London or able to come to the office on a regular basis.”
  • experience_months “5+ years of experience in analytics or data science”
sqldata analysisstatistical analysispython
Role brief

You will:

  • Advanced Analytics: Develop innovative measurement and analytical approaches that build an understanding of performance and customers, embedding these learnings into day-to-day decision-making across the organisation.

  • Quantitative Analysis: Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights.

  • Strategic Influence: Influence both strategic and tactical decision-making among leadership and cross-functional teams through strong communication and by proactively identifying opportunities for improvement.

  • Data Infrastructure: Act as the primary partner for central Analytics & Data Engineering teams to implement reliable and scalable data pipelines that manage and transform essential information.

  • Commercial Modeling: Build the necessary models and tools to inform pricing strategies, helping stakeholders maintain a competitive position versus competitors while maximizing margin opportunity.

  • Insight Integration: Partner with Customer Insights teams, supporting customer and competitor research projects and helping to embed those learnings into operational workflows.

  • Data Culture: Proactively build and nurture a culture of data-driven decision-making by coaching and supporting teams to increase their data literacy and confidence.

  • Mentorship: Support and mentor other analysts in the team to help them develop their skills and deliver high-quality results.

    • You have:

  • 5+ years of experience in analytics or data science - preferably in fields related to grocery, trading, marketing, or consumer product.
  • A strong understanding of statistical analysis and experiment design.
  • A Bachelor's Degree in Business, Mathematics, Statistics, or other quantitative discipline is beneficial, but not essential.
  • Expert skills in SQL and databases, able to write structured and efficient queries on large data sets.
  • Experience with dbt is a strong plus, along with Python or R and Github.
  • Development experience with BI platforms such as Looker, Tableau, Power BI. Experience with Looker and LookML in particular is strongly preferred.
  • A strong and confident communication style, with good knowledge of data visualisation and storytelling.
  • A high degree of curiosity, comfortable gathering and analysing large amounts of data across a variety of business dimensions.
  • The role will be London-based, with the candidate ideally based in/around London or able to come to the office on a regular basis.

    • Benefits:

  • We offer comprehensive medical, dental, vision and Mental health support to all eligible employees.
  • Company RSUs (Restricted Stock Units).
  • Gopuff employee rewards (including some great brand partnership deals).
  • Annual performance appraisal and bonus.