Lead Data Analyst

Gopuff; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative firm is seeking a Lead Data Analyst to drive business efficiency and enhance key metrics through data-driven insights. In this pivotal role, you will collaborate across teams to develop advanced data models and tackle real-world challenges using data. Your expertise in SQL and familiarity with BI tools will empower decision-making processes and optimize performance. This position offers a unique opportunity to leave a lasting impact in a fast-paced, high-growth environment. If you're passionate about problem-solving and data, this is the perfect chance to shape the future of commerce.

Benefits

Company Shares

Private Medical Cover

Dental Cover

Annual Performance Bonus

Employee Discount

Career Growth Opportunities

Qualifications

• 3+ years of experience in data analytics in a fast-paced environment.
• Expertise in SQL and familiarity with BI tools.

Responsibilities

• Analyze key metrics to enhance customer acquisition and retention.
• Develop data models to provide transparency into business performance.

Skills

SQL

Data Analytics

Problem Solving

Communication

Data Visualization

Education

Bachelor's Degree in Data Science or related field

Tools

dbt

Looker

Tableau

Power BI

Job description

Get AI-powered advice on this job and more exclusive features.

At Gopuff, we’re not just delivering convenience—we’re redefining how the world shops. Since pioneering instant needs in 2013, we’ve empowered millions of customers across the U.S. and U.K. to reclaim their time through seamless, fast, and reliable delivery. Behind this transformative journey is our tech-first mindset, relentless obsession with customer experience and operational excellence.

To continue shaping the future of commerce, we’re looking for an exceptional Lead Data Analyst and this is not just a job—it’s a mission.

We are seeking a driven and analytical Lead Analyst who thrives on turning data into actionable insights that shape company-wide KPIs. You will work cross-functionally, delivering insights that empower our teams across Marketing, Finance, and Growth to make data-driven decisions.

With your expertise in SQL and dbt you will play a pivotal role in ensuring data is at the heart of our decision-making processes, helping Gopuff achieve its key performance goals.

We believe great work happens through collaboration, not competition. You foster a culture of curiosity, respect, and shared success, ensuring data is a tool for empowerment, not gatekeeping. No room for arrogance—just a commitment to helping others and making an impact together.

If you’re a high-performer who thrives in fast-paced, high-impact environments, this is your chance to build, innovate, and leave a lasting mark on one of the most disruptive industries in the world.

Are you ready to shape the future of commerce? Let’s go.

You Will:

• Drive Business Efficiency: Analyse and enhance key metrics across customer acquisition, retention, and revenue generation. Your insights will directly influence how we improve processes, drive customer satisfaction, and optimise cost-efficiency.
• Build Data Models for Strategic KPIs: Develop and maintain advanced data models using dbt to provide transparency and clarity into our core business performance metrics.
• Deep Dive into Company Performance: Work closely with cross-functional teams to ensure our KPIs are aligned with overall business objectives, identifying areas for improvement and efficiency.
• Collaborate Across the Business: Partner with teams across Marketing, Growth, and Finance to ensure your data insights are not only clear but actionable for driving performance improvements.
• Problem-Solve with Data: Tackle real-world challenges by using data to provide practical, strategic solutions that enhance how we operate and grow as a company.
• Present Data Insights Effectively: Clearly communicate complex analyses and data insights to both technical and non-technical stakeholders, ensuring decisions are grounded in data.
  
  

You Have:

• 3+ Years in Data Analytics: Proven experience in a data-driven environment, ideally in a high-growth e-commerce or retail setting.
• Expertise in SQL: Advanced skills in SQL for querying large datasets and developing complex reports. Knowledge of Python or R is a plus.
• Tools Mastery: Familiarity with BI tools such as Looker, Tableau, or Power BI, with a strong ability to translate data into strategic insights.
• Problem-Solver: A passion for tackling business challenges, with the ability to identify issues and propose actionable, data-driven solutions.
• Strong Communicator: Ability to present data insights clearly and persuasively to both technical and non-technical stakeholders.
• Curiosity and Drive: A passion for problem-solving and the ability to thrive in a fast-paced, ambiguous environment. You’ll be excited to dive into our business performance data and uncover opportunities to drive growth.
  
  

Benefits:

• A high-impact role where you’ll be directly involved in the company’s most critical operations.
• Company RSU’s (Company Shares)
• Private Medical + Dental cover
• Annual performance appraisal and bonus
• Employee Discount + FAM membership
• Career growth opportunities
  
  

Company Summary & EEOC Statement:

At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.

And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.

Like what you’re hearing? Then join us on Team Blue.

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

Referrals increase your chances of interviewing at Gopuff by 2x

Sign in to set job alerts for “Lead Data Analyst” roles.

Slough, England, United Kingdom 5 days ago

Senior Data and Business Analyst - Workforce Data (Ref: 5174)

London, England, United Kingdom 1 week ago

Data Analyst / Business Analyst – Risk Rating & Pricing

London, England, United Kingdom 1 month ago

London, England, United Kingdom 6 days ago

Data Analyst (HR Function) / Power BI / Excel) (5960)

Dartford, England, United Kingdom 6 days ago

London, England, United Kingdom 1 week ago

Data Analyst, Power BI | Investment Management - Trading Platform | London, Hybrid | up to £100k + Bonus, Benefits

London, England, United Kingdom 1 day ago

Senior Data Analyst - Finance and Treasury

London, England, United Kingdom 1 week ago

Senior Data Analyst - Finance & Treasury

London, England, United Kingdom 4 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom Just now

London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 month ago

Windsor, England, United Kingdom 1 day ago

City Of London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 4 weeks ago

London, England, United Kingdom 5 days ago

Business Analyst - Data. 12 Month FTC - Energy

London, England, United Kingdom 6 days ago

London, England, United Kingdom 1 day ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.