Data Analyst

Data Analyst

Full-Time 36000 - 60000 £ / year (est.) No home office possible
Go Premium
R

At a Glance

  • Tasks: Analyse data to optimise logistics and improve delivery efficiency.
  • Company: Join Relay, a fast-growing logistics startup backed by major investors.
  • Benefits: Generous equity, private health coverage, and extensive perks.
  • Why this job: Make a real impact on e-commerce by enhancing delivery systems.
  • Qualifications: 3+ years as a data analyst with strong SQL skills.
  • Other info: Dynamic team culture focused on innovation and collaboration.

The predicted salary is between 36000 - 60000 £ per year.

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone.

THE TEAM

  • ~90 people, more than half in engineering, product and data
  • 45+ advanced degrees across computer science, mathematics and operations research
  • Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle
  • An intellectually vibrant culture of first‑principles thinking, tight feedback loops and relentless experimentation

Work Alongside Industry Leaders

Andy Turner – Director of Data has built and led data teams across global enterprises and high growth scale ups on five continents. He has delivered cloud native platforms, launched AI products end to end, and holds patents for novel machine learning applications in the UK Capital Markets.

Tech Stack Highlights

  • Cloud-native on GCP with extensive use of BigQuery and Cloud Run
  • Extensive use of ML modelling and LLM inference
  • Python, Rust and TypeScript
  • Cross-platform Flutter apps with a deep focus on user experience
  • Emerging tech integrations, including robotics and IoT-powered operations

The Opportunity

As a highly operational business, we rely on data to guide everything we do. We are looking for a Data Analyst to work on Last Mile Marketplace. This role is an opportunity to apply your analytical skills directly to the design and performance of critical logistics infrastructure as we scale.

You’ll work closely with squads across routing, sortation, first mile, middle mile, last mile, marketplace, and our commercial functions, and collaborate with operations, product, and engineering to identify problems, shape hypotheses, and deliver insight.

Last Mile Marketplace

  • Matching & Route Discoverability: Understand and optimise how couriers discover and book routes. Analyse booking data to identify what characteristics drive selection; use simulations and experiments to refine how, when, and to whom routes are shown, improving match quality and overall booking efficiency across the network.
  • Product Analytics: Analyse how couriers interact with our Last Mile app across booking funnels and core features. Run experiments to evaluate the impact of visibility, functionality, and interface changes on courier conversion, route uptake, and operational performance.

Who Will Thrive in this role?

  • Define key performance indicators and build dashboards that make operational performance transparent and actionable
  • Support analysis of operational performance and help identify levers for improvement
  • Translate business problems into analytical questions – and analytical results into clear, actionable recommendations
  • Collaborate with data scientists, engineers, and operators to build data tools and surface performance insights
  • Contribute to scoped data projects from definition to delivery, with support from an experienced team of data professionals

Requirements

  • 3+ years of experience as a data analyst or in a similar role
  • Strong SQL skills and experience with BI/data visualisation tools
  • Well-developed analytical and problem-solving skills, with a proven ability to derive insight from complex data
  • Effective communication skills
  • A commercial mindset

Fast and Focused Hiring Process

  • Talent Acquisition Interview - 30mins
  • Online Hiring Manager Interview - 45mins
  • SQL Live Coding - 60mins
  • Case Study - 60mins
  • Decision and offer within 48 hours.

Who Thrives at Relay?

  • Aim with Precision: You define problems clearly and measure your impact meticulously.
  • Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction.
  • 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth.
  • All In, All the Time: You show up and step up.
  • People-Powered Greatness: You invest in your teammates.
  • Grow the Whole Pie: You seek out win‑win solutions for merchants, couriers, and our customers.

Compensation, Benefits & Workplace

  • Generous equity, richer than 99% of European startups, with annual top-ups to share Relay’s success.
  • Private health & dental coverage.
  • 25 days of holidays.
  • Enhanced parental leave.
  • Hardware of your choice.
  • Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more).
  • Located in Shoreditch, our office set-up enables the kind of in‑person interactions that drive impact.
  • We work 4 days on‑site, with 1 day remote.

Relay is an equal‑opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Data Analyst employer: relaytech.co

Relay is an exceptional employer, offering a vibrant work culture that thrives on innovation and collaboration. With generous equity options, comprehensive health benefits, and a commitment to employee growth, team members are empowered to make impactful contributions in a dynamic environment. Located in the heart of Shoreditch, our office fosters meaningful interactions while providing flexibility with a hybrid work model, making it an ideal place for those seeking a rewarding career in logistics.
R

Contact Detail:

relaytech.co Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Network like a pro! Reach out to people in the logistics and data fields on LinkedIn. Don’t be shy—ask for informational interviews or advice. You never know who might have a lead on your dream job!

✨Tip Number 2

Prepare for those interviews! Research Relay’s mission and values, and think about how your skills as a Data Analyst can help them achieve their goals. Tailor your examples to show you’re the perfect fit for their team.

✨Tip Number 3

Practice your SQL skills! Since they’ll likely test your technical abilities, brush up on your SQL queries and data visualisation techniques. Use platforms like StudySmarter to sharpen your skills before the big day.

✨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 genuinely interested in being part of the Relay team!

We think you need these skills to ace Data Analyst

SQL
Data Analysis
Business Intelligence
Data Visualisation
Analytical Skills
Problem-Solving Skills
Communication Skills
Collaboration
Performance Metrics
Experimentation
Operational Performance Analysis
Hypothesis Testing
Commercial Mindset
Dashboard Creation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Analyst role at Relay. Highlight relevant experience, especially in SQL and data visualisation tools, and don’t forget to showcase your analytical skills. We want to see how you can contribute to our mission!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about logistics and how your skills align with our goals. Be sure to mention specific projects or experiences that demonstrate your problem-solving abilities.

Showcase Your Analytical Mindset: In your application, give examples of how you've translated complex data into actionable insights. We love candidates who can clearly communicate their findings, so make sure to highlight any experience you have in presenting data to both technical and non-technical audiences.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get you into our fast-paced hiring process. Don’t miss out on this opportunity!

How to prepare for a job interview at relaytech.co

✨Know Your Data Tools

Familiarise yourself with SQL and any BI/data visualisation tools mentioned in the job description. Be ready to discuss your experience with these tools and how you've used them to derive insights from complex data sets.

✨Understand Relay's Mission

Dive deep into Relay's mission to free commerce from friction. Be prepared to discuss how your analytical skills can contribute to optimising logistics and improving the online shopping experience for everyone.

✨Prepare for Live Coding

Since there's a SQL live coding session, practice common SQL queries and data manipulation tasks. Brush up on your problem-solving skills and be ready to think aloud as you work through the coding challenges.

✨Showcase Your Collaboration Skills

Relay values teamwork, so be ready to share examples of how you've collaborated with cross-functional teams in the past. Highlight your ability to translate analytical findings into actionable recommendations for both technical and non-technical audiences.

Data Analyst
relaytech.co
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

R
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>