Senior Data Analyst - Services & Expansion
Listed on 2026-02-15
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IT/Tech
Data Analyst, Data Science Manager
Location: Greater London
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.
- ~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
Expansion is one of Relay’s biggest priorities in 2026. New markets, new service types, new ways to grow the network. The decisions that shape that growth - where to expand, which services to scale, how to measure success - will define what Relay looks like in the years ahead. This role sits at the centre of those decisions.
As a Senior Data Analyst in the New Services & Expansion squad, you will own the analytics for Relay’s growth initiatives. This is not a domain with established metrics and well‑worn dashboards. The questions are often new, the data is scattered across squads, and what “good” looks like hasn’t been defined yet. You’ll spend as much time figuring out what to measure as you will measuring it.
Because expansion touches every part of the network, you’ll work across routing, sortation, first mile, middle mile, last mile, marketplace, and commercial to understand how new services ripple through the system.
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 New Services & Expansion squad, but report into the centralised data team.
What You’ll DoOwn the analytics for customer‑to‑customer delivery: define what metrics matter, identify bottlenecks, and present recommendations to senior leadership
Partner with the Data Science team on geographic expansion: identify highest‑potential areas for growth and build the analytical foundation for investment decisions
Work with finance to set ramp plans, targets, and success metrics for new locations
Analyse profitability drivers across the network to understand where expansion is working and where it isn’t
Work across squads to understand how new services affect routing, sortation, first mile, middle mile, last mile, and marketplace
Define KPIs for new service types where no established metrics exist
Translate ambiguous business questions into analytical frameworks - and analytical results into clear recommendations
You take ownership of ambiguous problems and don’t wait to be told what to analyse next
You’re comfortable working across teams and building relationships with people in operations, product, engineering, and finance
You can define what success looks like when there’s no playbook to follow
You translate complex data into clear recommendations that non‑technical stakeholders can act on
You’re fluent in SQL and experienced with BI tools, but you see them as means to an end, not the end itself
You have at least 5 years experience, ideally with some exposure to data science, finance or commercial
You communicate clearly and aren’t afraid to present findings to senior leadership
You do well in fast‑moving environments where the questions change as the business evolves
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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