Senior Data Analyst - End Customer

Senior Data Analyst - End Customer

Full-Time 36000 - 60000 £ / year (est.) No working from home possible
Relay Technologies

At a Glance

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

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 are assembling the most talent-dense team the logistics industry has ever seen.

Mission: 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 optimise 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.

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

Senior Data Analyst - End Customer employer: Relay Technologies

Relay is an exceptional employer that champions a vibrant and intellectually stimulating work culture, where data-driven insights directly influence the logistics landscape. With generous equity options, comprehensive health benefits, and a commitment to employee growth through collaboration and feedback, Relay offers a unique opportunity for Senior Data Analysts to make a meaningful impact in a fast-paced environment. Located in the creative hub of Shoreditch, the company fosters in-person interactions that enhance teamwork and innovation, making it an attractive place for those seeking rewarding careers in data analytics.

Relay Technologies

Contact Details:

Relay Technologies Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Analyst - End Customer

Tip Number 1

Network like a pro! Reach out to people in the logistics and data analysis fields on LinkedIn. Join relevant groups and participate in discussions. You never know who might have a lead on your dream job!

Tip Number 2

Prepare for interviews by practising common data analyst questions. Think about how you can showcase your SQL skills and analytical mindset. Use real-world examples from your past experiences to demonstrate your problem-solving abilities.

Tip Number 3

Don’t just apply blindly! Tailor your approach for each role. Research Relay’s mission and values, and think about how your skills can help them achieve their goals. Show them you’re not just another applicant, but someone who truly gets what they’re about.

Tip Number 4

Follow up after interviews! A quick thank-you email can go a long way. Mention something specific from your conversation to remind them of your fit for the role. And remember, applying through our website gives you a better chance to stand out!

We think you need these skills to ace Senior Data Analyst - End Customer

SQL
Data Analysis
Business Intelligence
Data Visualisation
Analytical Skills
Problem-Solving Skills
Communication Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your SQL skills, analytical experience, and any relevant projects that showcase your ability to derive insights from complex data. 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 experience aligns with our goals at Relay. Be sure to mention specific examples of how you've tackled similar challenges in the past.

Show Off Your Communication Skills:Since you'll be working with both technical and non-technical teams, it's crucial to demonstrate your ability to communicate complex ideas clearly. In your application, include examples of how you've successfully conveyed analytical findings to diverse audiences.

Apply Through Our Website:We encourage you to apply directly through our website. This helps us keep track of applications and ensures you get the best chance to showcase your skills. Plus, it shows you're keen on joining our team at Relay!

How to prepare for a job interview at Relay Technologies

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 analytical prowess and how it led to actionable insights.

Understand Relay's Mission

Relay is all about freeing commerce from friction. Familiarise yourself with their mission and think about how your role as a data analyst can contribute to this vision. Be prepared to discuss how you can leverage data to optimise delivery experiences and improve customer satisfaction.

Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities. Think of scenarios where you've had to translate complex data into clear recommendations. Practice articulating your thought process and the impact of your decisions on business outcomes, especially in logistics or e-commerce contexts.

Showcase Your Collaboration Skills

Relay values teamwork across various functions. Be ready to share examples of how you've collaborated with engineers, product teams, or other analysts. Highlight your communication skills and how you've effectively conveyed analytical findings to both technical and non-technical audiences.