Lead Data Analyst in London

Lead Data Analyst in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Medium

At a Glance

  • Tasks: Lead data analysis to drive strategic decisions and empower teams with insights.
  • Company: Join Gopuff, a tech-first company revolutionising shopping efficiency since 2013.
  • Benefits: Enjoy comprehensive health support, stock options, and exciting employee rewards.
  • Other info: Mentorship opportunities and a culture that fosters growth and innovation.
  • Why this job: Make a real impact in a fast-paced environment that values curiosity and collaboration.
  • Qualifications: 5+ years in analytics, strong SQL skills, and a passion for data-driven decision-making.

The predicted salary is between 60000 - 80000 £ per year.

At Gopuff, we don’t just deliver products; we deliver efficiency. Since 2013, we’ve pioneered the "Instant Needs" category, turning what used to be a 45-minute errand into a 15-minute solution. We are a tech-first, operationally obsessed engine that is fundamentally changing how the world shops. Now, we’re looking for a Lead Data Analyst to join the front lines of our Data team. We value drive over pedigree and ego-less collaboration over competition. At Gopuff, data is for empowerment, not gatekeeping. We have zero room for arrogance, but infinite space for curiosity, grit, and a "no job too small" mindset. If you’re a high-performer who feels stifled by slow-moving corporate machines, this role is for you. You thrive in the "grey area" of ambiguity and are energised by the prospect of leaving a lasting mark on a disruptive industry.

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.

Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.

Lead Data Analyst in London employer: Medium

At Gopuff, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Lead Data Analyst in London, you'll enjoy comprehensive benefits, including medical support and company stock options, while being part of a culture that values curiosity and collaboration over hierarchy. With ample opportunities for mentorship and professional growth, Gopuff is the perfect place for high-performers eager to make a significant impact in a fast-paced, tech-driven industry.

Medium

Contact Details:

Medium Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Analyst in London

Tip Number 1

Network like a pro! Reach out to current or former employees at Gopuff on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for the interview by diving deep into Gopuff's data culture. Familiarise yourself with their analytics tools and be ready to discuss how you can contribute to their mission of efficiency and innovation.

Tip Number 3

Showcase your curiosity! During interviews, share examples of how you've tackled ambiguous problems in the past. Gopuff loves candidates who thrive in grey areas and can think outside the box.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Gopuff team.

We think you need these skills to ace Lead Data Analyst in London

Advanced Analytics
Quantitative Analysis
Statistical Analysis
Experiment Design
SQL
Data Pipelines
Commercial Modelling

Some tips for your application 🫡

Show Your Passion for Data:When you're writing your application, let your enthusiasm for data shine through! We love candidates who are genuinely excited about analytics and how it can drive decision-making. Share specific examples of how you've used data to make an impact in your previous roles.

Tailor Your Application:Make sure to customise your application to highlight the skills and experiences that align with the Lead Data Analyst role. We want to see how your background fits into our mission at Gopuff, so don’t be shy about connecting the dots!

Be Clear and Concise:We appreciate clarity in communication, so keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills. Remember, less is often more!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Gopuff!

How to prepare for a job interview at Medium

Know Your Data Inside Out

Before the interview, dive deep into your past projects and experiences with data analysis. Be ready to discuss specific examples where you used SQL, Python, or any BI tools like Looker or Tableau to solve complex problems. This will show your expertise and how you can bring value to Gopuff.

Emphasise Collaboration and Curiosity

Gopuff values ego-less collaboration, so highlight your experiences working in teams. Share stories that demonstrate your curiosity and willingness to learn from others. Discuss how you've influenced decision-making through strong communication and teamwork.

Prepare for Ambiguity

Since the role thrives in the 'grey area', think of examples where you've navigated ambiguity successfully. Be prepared to discuss how you approach complex business questions and turn them into actionable insights, showcasing your strategic influence.

Showcase Your Mentorship Skills

As a Lead Data Analyst, you'll be expected to mentor others. Prepare to talk about your experience in coaching fellow analysts or team members. Highlight how you've helped others grow their skills and fostered a culture of data-driven decision-making.