Lead Data Analyst

Gopuff; Greater London; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

RSUs

Annual performance bonus

Medical, dental, vision, mental health

Employee rewards

Job summary

Gopuff in London is seeking a senior data analytics professional to advance measurement and decision-making across the organisation. You will lead advanced analytics, build scalable data pipelines, and partner with cross-functional teams to translate insights into operational improvements.

The role emphasizes quantitative analysis, strategic influence, and mentorship, with a focus on data-informed pricing and customer insights. London-based with regular office attendance.

Qualifications

• 5+ years of experience in analytics or data science.
• Strong statistical analysis and experiment design.
• Bachelor’s degree beneficial but not essential.

Responsibilities

• Develop innovative analytics approaches to understand performance and customers.
• Conduct quantitative analysis and experimentation to derive actionable insights.
• Influence leadership and cross-functional teams through data-backed recommendations.
• Partner with central Analytics & Data Engineering to build scalable data pipelines.
• Build models/tools to inform pricing strategies and maximize margins.
• Support customer insights and embed learnings into workflows.
• Foster a data-driven culture by coaching teams and improving data literacy.
• Mentor other analysts to grow skills and deliver high-quality results.

Skills

Data analysis

Experiment design

Data storytelling

Communication

Curiosity

Education

Bachelor's Degree in Business/Math/Stats

Tools

SQL

dbt

Python

R

Looker

LookML

Tableau

Power BI

Github

Job description

• 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 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.