At a Glance
- Tasks: Own analytics for finance, translating data into actionable insights for decision-making.
- Company: Join Relay, a fast-scaling logistics startup backed by major investors.
- Benefits: Generous equity, private health coverage, 25 days holiday, and extensive perks.
- Other info: Dynamic team culture focused on innovation and collaboration.
- Why this job: Make a real impact in reshaping e-commerce with data-driven decisions.
- Qualifications: 5+ years experience in data analysis, fluent in SQL, and strong communication skills.
The predicted salary is between 48000 - 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), 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
The Opportunity
Relay's network is scaling fast. The decisions that shape that growth, where to expand, how to price, where to invest, are made by a finance team that runs on data: driver‑level metrics, profitability models, pricing structures, and operational KPIs. This role exists to own the analytics layer that powers those decisions. As a Senior Data Analyst in the finance squad, you are responsible for how finance sees the business. You own the dashboards and reporting that give visibility into the metrics that matter: cost per parcel, expansion profitability, client and cohort performance, pricing dynamics, and the drivers underneath them. You translate raw operational data into views that finance can use to forecast, model, and act.
Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the finance squad, but report into the centralised data team. You will work closely with the Senior Data Scientist in the squad, building the reporting and visibility layer on top of their simulation models. You will also work across squads, pulling the metrics they commit to the semantic layer and shaping them into the views finance needs.
Who Will Thrive in This Role?
- You take ownership of your domain. You don’t wait to be told what finance needs or when something is broken.
- You’re proactive about understanding the questions they’re trying to answer and making sure the data is there to answer them.
- You’re an excellent data analyst who builds clean, reliable reporting that people actually use.
- You care about data quality, clarity, and making complex metrics understandable.
- You’re fluent in SQL and experienced with dbt.
- You can build and maintain well‑structured models, not just write queries.
- You’re comfortable with BI tools and visualisation platforms.
- You know how to design dashboards that surface the right information without clutter.
- You have at least 5 years of experience, ideally with some exposure to finance, FP&A, or commercial analytics.
- You understand how finance teams think about metrics and drivers.
- You communicate clearly with non‑technical partners.
- You’re comfortable working across teams.
Fast and Focused Hiring Process
- Talent Acquisition Interview - 30 min
- Technical SQL Interview - 1 hour
- Hiring Manager Interview - 45 min
- Case Study - 1 hour
- Values & Impact Interview - 45 min
- Decision and offer within 48 hours.
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.
- 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.
- Hardware of your choice.
- Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more).
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. 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.
- Grow the Whole Pie: You seek out win‑win solutions for merchants, couriers, and our customers.
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 - Strategic Finance in City of London employer: Relay Technologies
Contact Detail:
Relay Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Strategic Finance in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Relay or similar companies. Use LinkedIn to connect and engage with them; you never know who might help you land that interview.
✨Tip Number 2
Prepare for your interviews by understanding Relay's mission and values. Show how your skills as a Senior Data Analyst align with their goal of freeing commerce from friction. Tailor your examples to demonstrate your impact in previous roles.
✨Tip Number 3
Practice your SQL skills and be ready to showcase your technical prowess during the technical interview. Brush up on your BI tools and visualisation techniques, as these will be crucial for the role.
✨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 Senior Data Analyst - Strategic Finance in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with SQL, BI tools, and any finance-related projects. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how you can contribute to Relay’s mission. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you’ve worked on relevant projects, don’t hesitate to showcase them! Whether it’s dashboards you’ve built or complex data models, we want to see your work in action. Include links or attachments if possible.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Relay Technologies
✨Know Your Data Inside Out
As a Senior Data Analyst, you’ll need to demonstrate your expertise in data analysis. Brush up on SQL and dbt, and be ready to discuss how you've used these tools in past projects. Prepare examples of how your reporting has influenced business decisions, especially in finance.
✨Understand the Business Context
Relay is all about making commerce frictionless. Familiarise yourself with their mission and how data analytics plays a role in achieving it. Be prepared to discuss how you can contribute to their goals by translating complex metrics into actionable insights for the finance team.
✨Showcase Your Communication Skills
You’ll need to explain your findings to non-technical partners. Practice articulating complex data concepts in simple terms. Think of examples where you’ve successfully communicated data-driven insights to stakeholders and how that impacted decision-making.
✨Build Relationships Across Teams
Since you'll be pulling metrics from various squads, highlight your experience in cross-team collaboration. Share examples of how you've built relationships in previous roles and how that helped you gather the necessary data to create impactful reports.