Future Tech Jobs Future Tech Jobs

Senior Product Analyst

Just Eat Takeaway.com
London, United Kingdom
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Analytics Engineer

Synthesia London, United Kingdom
Remote

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

Data Scientist

Guidant Global London, United Kingdom
£600 – £850 pd On-site Clearance Required

Senior Solutions Architect - Lakewatch

Databricks London, United Kingdom

Data Analyst/Manager

Coulter Elite Resourcing Peterborough, PE1 1XH, United Kingdom

Head of Data and Product

Aspire Personnel Ltd Poole, Dorset, BH13 7EE, United Kingdom
£65,000 – £75,000 pa On-site
Job Type
Contract
Work Pattern
Full-time
Work Location
On-site
Seniority
Senior
Education
Degree
Contract Duration
12 months
Posted
1 May 2026 (2 weeks ago)

Benefits

Fun, fast-paced and supportive work environment International impact Inclusive and diverse culture
Share
Save job
Create job alert

Hungry for a challenge?

That’s good, because at Just Eat Takeaway.com (JET) we believe everything is possible, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe.

Our mission? To empower every food moment around the world, whether it’s through customer service, coding or couriers.

The Opportunity

We're looking for a highly analytical and technically proficient Product Analyst to join our team. You will play a crucial role in driving the success of our Logistics product improvements and advancing our logistics-wide experimentation efforts. The ideal candidate has a strong background in data analysis, a passion to improve data driven product improvements and a proven ability to translate complex data into actionable product insights. This role requires hands-on expertise with various data tools and a solid understanding of data pipelines.

Please note: This is a 12 month Fixed Term Contract

These are some of the key ingredients to the role:

Product Performance Analysis:

Support analytics

Define, monitor, and report on key product metrics to assess product health and impact of releases.

Experimentation:

Design, set up, and analyze product experiments across various features and product surfaces.

Develop hypotheses, determine appropriate statistical methodologies, and clearly communicate the results and recommendations to product managers and stakeholders.

Data Manipulation & Reporting:

Write, optimize, and execute complex SQL queries to extract and manipulate data from large, disparate databases.

Utilize Python (e.g., pandas, NumPy, statistical libraries) for advanced data cleaning, statistical modeling, and analysis as needed.

Develop and maintain dynamic dashboards and reports using data visualization tools like Looker and Tableau to monitor business and product performance in real-time.

Data Infrastructure & ETL:

Demonstrate hands-on experience and comfort with understanding, troubleshooting, and occasionally contributing to ETL pipelines to ensure data quality, consistency, and availability for analysis.

Collaborate with Backend and Data Engineering teams to define necessary tracking and logging for new features.

Strategic Insight:

Partner closely with Product Managers, Engineers, Data Scientist and UX/UI Designers to influence the product roadmap based on quantitative data and analytical insights.

Present findings, insights, and recommendations clearly

What will you bring to the table?

Strong experience as a Product Analyst or data analytics

Expert-level proficiency in SQL for querying, aggregating, and analyzing large datasets.

Prefer hands-on experience with Python for data analysis, including statistical packages.

Proven background in experimentation not just limited to A/B testing but also other techniques including hypothesis formulation, sample size calculation, statistical significance, and interpretation of results.

Familiarity with cloud data platforms (e.g., AWS, GCP, Azure) and distributed processing frameworks.

Proficiency in creating and managing dashboards, reports, and data models using Looker and/or Tableau.

Familiarity and comfort with ETL processes and data warehousing concepts (e.g., how data flows, where to access reliable data).

Excellent communication skills with the ability to clearly articulate complex analysis and trade-offs.

At JET, this is on the menu:

Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.

Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.

Inclusion, Diversity & Belonging

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

What else is cooking?

Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.

Are you ready to take your seat? Apply now!

#LI-CB2

Industry Insights

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

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.