Lead Data Analyst

JobTarget
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst - 35962738

Lead Data Analyst

Lead data analyst digital

Lead Data Analyst - Hybrid

Lead Data Analyst

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.



ngG4p5fGmzpJmhMmgF2w4A

PI270819852

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.