Senior Data Analyst - Strategic Finance

🇬🇧 London, Greater London
Posted 3 months ago
Expires June 9, 2026
Full TimeHybridData ScienceOperations

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. Y...

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