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Relay Technologies

Senior Data Analyst - Strategic Finance

London
Posted about 1 month ago
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Senior Data Analyst - Strategic Finance

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 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

~110 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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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. Finance will rely on your reporting to make decisions. You need to explain what it shows, where the data comes from, and where the limitations are. You're comfortable working across teams. You'll pull metrics from squads across the business, which means building relationships and understanding how different parts of Relay operate.

Fast and Focused Hiring Process

Talent Acquisition Interview - 30 min Technical SQL Interview - 1 hours Hiring Manager Interview - 45 min Case Study - 1 hour Values & Impact Interview - 45 min Decision and offer within 48 hours. Our process mirrors our pace of work.

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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. 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. 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.

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Skills

SQL
Data Analysis
Reporting
Data Quality
Business Intelligence
Visualization
Financial Analysis
Forecasting
Modeling
Collaboration
Communication
Metrics
Data Engineering
Dashboards
Operational KPIs
Data Science

Location

London, England, United Kingdom

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