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: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with industry leaders in a vibrant, innovative environment.
- Why this job: Make a real impact on e-commerce by enhancing the online shopping experience.
- Qualifications: 3+ years as a data analyst, strong SQL skills, and effective communication.
The predicted salary is between 50000 - 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. Trained in statistics at Oxford, he pairs strong technical fundamentals with clear judgement, a commercial focus, and a bias to deliver.
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 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
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 – you can clearly explain analytical findings to both technical and non-technical audiences
A commercial mindset – you care about impact, not just insight
Fast and Focused Hiring Process
- Talent Acquisition Interview - 30mins | Online
- Hiring Manager Interview - 45mins
- SQL Live Coding - 60mins
- Case Study - 60mins
Data Analyst - Sortation & First Mile employer: Relay Technologies
Relay is an exceptional employer, offering a vibrant work culture that thrives on innovation and collaboration. With a focus on employee growth, team members are encouraged to engage in continuous learning and experimentation, working alongside industry leaders in a fast-paced environment. The opportunity to directly impact logistics infrastructure while utilising cutting-edge technology makes Relay a unique and rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Sortation & First Mile
✨Tip Number 1
Network like a pro! Reach out to current employees at Relay or similar companies on LinkedIn. Ask them about their experiences and any tips they might have for landing a role. Personal connections can make all the difference!
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL skills and be ready to showcase your analytical thinking. Practice explaining complex data insights in simple terms, as you'll need to communicate effectively with both techies and non-techies.
✨Tip Number 3
Showcase your passion for logistics and data! When you get the chance, share your thoughts on how data can improve operations in the logistics sector. This will demonstrate your enthusiasm and understanding of the industry.
✨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 - Sortation & First Mile
Some tips for your application 🫡
Show Your Analytical Skills:Make sure to highlight your analytical skills in your application. We want to see how you can translate complex data into actionable insights, so share examples of your past work that demonstrate this ability.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Data Analyst role. Mention your experience with SQL and BI tools, as these are key for us.
Be Clear and Concise:When writing your application, keep it clear and concise. We appreciate straightforward communication, so avoid jargon and get straight to the point about your skills and experiences.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to track your application and ensure it gets to the right people!
How to prepare for a job interview at Relay Technologies
✨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 this goal, especially in optimising logistics and improving the online shopping experience.
✨Prepare for Technical Challenges
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 on your feet during the interview.
✨Communicate Clearly
You’ll need to explain your analytical findings to both technical and non-technical audiences. Practice articulating your thought process and insights clearly, focusing on how they can drive actionable recommendations.
