Lead Data Analyst

Gopuff
London, United Kingdom
HybridCareer-pivot friendly

Who this role is best for

Best suited to candidates with strong analytical and communication skills working in consumer product or trading domains.

Best fit for

  • Candidates with 5+ years of experience in analytics or data science within consumer product or trading fields
    — “5+ years of experience in analytics or data science - preferably in fields related to grocery, trading, marketing, or consumer product.”
  • Individuals who can translate complex quantitative insights into actionable business strategies
    — “Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights.”
  • Candidates experienced in mentoring and fostering data-driven cultures within teams
    — “Proactively build and nurture a culture of data-driven decision-making by coaching and supporting teams to increase their data literacy and confidence.”

Things to consider

  • The role requires regular in-office presence in London, limiting remote flexibility
    — “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.”
  • Mastery of Looker and LookML is strongly preferred over other BI platforms
    — “Experience with Looker and LookML in particular is strongly preferred.”

How to stand out

  • Highlight experience with data modeling and pricing strategy development in your resume and interview responses
    — “Build the necessary models and tools to inform pricing strategies, helping stakeholders maintain a competitive position versus competitors while maximizing margin opportunity.”
  • Emphasize your ability to influence leadership with data insights and drive operational improvements
    — “Influence both strategic and tactical decision-making among leadership and cross-functional teams through strong communication and by proactively identifying opportunities for improvement.”
  • Showcase your SQL and dbt expertise with concrete examples of query optimization or data pipeline development
    — “Expert skills in SQL and databases, able to write structured and efficient queries on large data sets.”
  • Demonstrate your experience in embedding customer insights into daily operations and decision-making
    — “Partner with Customer Insights teams, supporting customer and competitor research projects and helping to embed those learnings into operational workflows.”
  • Demonstrate strong communication and data storytelling skills with examples of past presentations or reports
    — “A strong and confident communication style, with good knowledge of data visualisation and storytelling.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Lead

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed innovative measurement and analytical approaches
  • Answered complex business questions through detailed quantitative analysis
  • Influenced strategic and tactical decision-making
  • Built reliable and scalable data pipelines
  • Supported customer and competitor research projects
Typical background
5+ years of experience in analytics or data scienceStrong understanding of statistical analysis and experiment designBachelor's Degree in Business, Mathematics, Statistics, or other quantitative discipline

Skills & requirements

Required

SQLPythonRLookerLookmlData VisualizationStatistical AnalysisExperiment DesignCommunication

Preferred

dbtTableauPower BI

Stack & domain

SQLPythonRLookerTableauPower BILookmldbtGitHubCommunicationLeadershipFinanceHealthcare

About the role

Original posting from Gopuff via Lever

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.

Source: Gopuff careers (Lever)

Similar roles

More roles at Gopuff