Senior Product Analyst

Just Eat Takeaway.com
London, United Kingdom
Today
£40,000 – £60,000 pa

Salary

£40,000 – £60,000 pa

Job Type
Contract
Work Pattern
Full-time
Work Location
On-site
Seniority
Senior
Education
Degree
Contract Duration
12 months
Posted
1 May 2026 (Today)

Benefits

Fun, fast-paced and supportive work environment International impact Inclusive and diverse culture

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

Related Jobs

View all jobs

Product Data Scientist

Harnham - Data & Analytics Recruitment London, United Kingdom
£75,000 – £85,000 pa Hybrid

Senior Analytics Engineer

Synthesia London, United Kingdom
Remote

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

Product Data Scientist/Analyst

Harnham - Data & Analytics Recruitment London, United Kingdom
£60,000 – £80,000 pa Hybrid

Data & Information Management Senior Analyst

Sky Polbeth, West Lothian, EH55 8SP, United Kingdom
£40,000 – £60,000 pa Hybrid

Data Product Owner

Intec Select Wolverhampton, West Midlands (county), United Kingdom
£90,000 – £95,000 pa

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

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

Advertising data science jobs in the UK requires a different approach to most technical hiring. 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.

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

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.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.