At a Glance
- Tasks: Analyse data to optimise logistics and drive strategic decisions at Relay Technologies.
- Company: Relay Technologies is revolutionising e-commerce logistics with a focus on sustainability and community impact.
- Benefits: Enjoy flexible hybrid working, generous equity, health plans, and team socials.
- Why this job: Join a high-impact team shaping the future of logistics with cutting-edge technology and significant autonomy.
- Qualifications: 5+ years in data analysis, excellent SQL skills, and a collaborative mindset are essential.
- Other info: Work in a dog-friendly office and enjoy free gym membership!
The predicted salary is between 43200 - 72000 ÂŁ per year.
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We\’re assembling the most talent-dense team the logistics industry has ever seen.
Relay’s 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 behaviors 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
- 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.
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Senior Data Analyst employer: Relay Technologies
Contact Detail:
Relay Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarise yourself with Relay Technologies' mission and values. Understanding their focus on sustainability and innovative logistics will help you align your insights and recommendations with their goals during interviews.
✨Tip Number 2
Brush up on your SQL skills and get comfortable with BI tools like Tableau. Being able to demonstrate your technical proficiency in these areas will be crucial, as they are key components of the role.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data to drive change in previous roles. Highlighting your analytical skills and the impact of your work will resonate well with the hiring team.
✨Tip Number 4
Network with current or former employees of Relay Technologies if possible. Gaining insights into the company culture and expectations can give you an edge in understanding what they value in a candidate.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Senior Data Analyst position. Understand the key responsibilities and required skills, such as SQL proficiency and experience with BI tools, to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 5+ years of experience in data analysis or similar roles. Provide specific examples of how you've used data to drive insights and influence business decisions, particularly in operational environments.
Showcase Analytical Skills: Demonstrate your analytical and problem-solving skills by including examples of past projects where you derived insights from complex data sets. Mention any experience with geographic or operational data, as this is a plus for the role.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also conveys your passion for data analysis and its impact on business operations. Make sure to connect your skills with Relay Technologies' mission of building a sustainable logistics network.
How to prepare for a job interview at Relay Technologies
✨Understand the Company Mission
Before your interview, make sure you grasp Relay Technologies' mission of creating a seamless and sustainable logistics network. Be prepared to discuss how your skills as a Senior Data Analyst can contribute to this vision.
✨Showcase Your Analytical Skills
Be ready to demonstrate your analytical prowess. Prepare examples of past projects where you've used SQL and BI tools to derive insights that led to impactful decisions. Highlight your problem-solving abilities and how they can benefit Relay.
✨Prepare for Cross-Functional Collaboration
Relay values collaboration across teams. Think of instances where you've worked with diverse groups, such as data scientists or operational teams, to drive projects from concept to delivery. Be ready to discuss how you can foster teamwork in your role.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company’s future. Inquire about specific projects you might work on, the tools they use, or how they measure success. This shows your genuine interest and helps you assess if it's the right fit for you.