Senior Data Analyst

Senior Data Analyst

Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
relaytech.co

At a Glance

  • Tasks: Analyse data to optimise logistics and enhance customer delivery experiences.
  • Company: Relay, a fast-growing logistics startup backed by major investors.
  • Benefits: Generous equity, private health coverage, 25 days holiday, and extensive perks.
  • Why this job: Make a real impact on e-commerce logistics while working with cutting-edge data tools.
  • Qualifications: 5+ years as a data analyst, strong SQL skills, and effective communication.
  • Other info: Join a vibrant team in Shoreditch, with a focus on collaboration and growth.

The predicted salary is between 36000 - 60000 ÂŁ 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 are assembling the most talent-dense team the logistics industry has ever seen. Relay’s Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. 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

The Opportunity

As a highly operational business, we rely on data to guide everything we do. We are a small but impactful data team that works on everything from operations research to optimise thousands of parcel deliveries daily, to detailed business metrics that drive our expansion and investment decisions, and everything in between. We are looking for a Senior Data Analyst to work on End Customer. 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. You’ll be an embedded contributor within key cross‑functional squads, with strong exposure to real‑world operations and the opportunity to drive meaningful change through data.

End Customer

Customer Delivery Experience & Preferences: Analyse customer delivery behaviours and preferences to optimize collection rates and safe place adoption. Examine delivery attempt data, customer notifications, and interaction patterns to understand what drives successful handovers versus customer collections. Use experiments and simulations to refine delivery windows, notification timing, and safe place recommendations, reducing courier handover time while improving overall delivery success rates.

End Customer Product Analytics: Analyse how customers interact with Relay’s end customer‑facing features across delivery tracking, notification channels, and collection workflows. Run experiments to evaluate the impact of communication timing, delivery option visibility, and interface changes on customer engagement, collection rates, and delivery preferences. Translate customer behavioural insights into actionable product improvements that drive customer‑centric decision‑making and measurable operational outcomes.

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:

  • 5+ 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

Compensation, Benefits & Workplace

  • Generous equity, richer than 99% of European startups, with annual top‑ups to share Relay’s success.
  • Private health & dental coverage, so comprehensive you’d need to be a partner at a Magic Circle law firm to match it.
  • 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.

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. You move quickly, deliver results, and learn from every experience.
  • All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts.
  • People‑Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success.
  • Grow the Whole Pie: You seek out win‑win solutions for merchants, couriers, and our customers, because when they thrive, so do we.

If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let’s connect.

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

Senior 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 focus on employee growth through meaningful projects, Relay empowers its team to make impactful contributions in the fast-paced logistics sector. Located in the dynamic Shoreditch area, employees enjoy a blend of in-person interactions and flexible working arrangements, fostering both professional development and personal well-being.
relaytech.co

Contact Detail:

relaytech.co Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Analyst

✨Tip Number 1

Network like a pro! Reach out to people in the logistics and data analysis fields on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples that highlight your problem-solving abilities and how you’ve driven impact through data. This will make you stand out when chatting with potential employers.

✨Tip Number 3

Prepare for those interviews! Research Relay’s mission and values, and think about how your experience aligns with their goals. Be ready to discuss specific examples of how you’ve used data to solve problems and improve processes in previous roles.

✨Tip Number 4

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. Don’t forget to follow up after applying to express your enthusiasm!

We think you need these skills to ace Senior Data Analyst

SQL
Data Analysis
Business Intelligence
Data Visualisation
Analytical Skills
Problem-Solving Skills
Communication Skills
Performance Metrics Definition
Dashboard Creation
Collaboration with Cross-Functional Teams
Customer Behaviour Analysis
Experimentation and Simulation
Commercial Mindset
Operational Performance Analysis

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight relevant experience, especially in SQL and data visualisation tools, and showcase your analytical skills. We want to see how your background aligns with our mission at Relay!

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 can help us free commerce from friction. Be sure to mention specific projects or experiences that relate to the role.

Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate them! Share examples of how you've translated complex data into actionable insights. We love candidates who can think critically and drive meaningful change through data.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Relay!

How to prepare for a job interview at relaytech.co

✨Know Your Data Inside Out

As a Senior Data Analyst, you'll be expected to have a strong grasp of data analysis techniques and tools. Brush up on your SQL skills and be ready to discuss how you've used data visualisation tools in past projects. Prepare examples that showcase your ability to derive insights from complex datasets.

✨Understand Relay's Mission

Relay is all about optimising logistics and enhancing customer delivery experiences. Familiarise yourself with their mission to free commerce from friction. Think about how your analytical skills can contribute to this goal and be prepared to share ideas on how to improve delivery success rates using data.

✨Prepare for Cross-Functional Collaboration

You'll be working closely with various teams, so it's crucial to demonstrate your ability to communicate effectively with both technical and non-technical audiences. Think of examples where you've successfully collaborated with different departments to solve problems or drive improvements.

✨Showcase Your Problem-Solving Mindset

Relay values a commercial mindset and the ability to tackle bold challenges. Be ready to discuss specific instances where you've defined problems clearly and measured your impact. Highlight your approach to turning analytical results into actionable recommendations that drive business outcomes.

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