Senior Data Analyst

About the role

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. The role grants you ownership over the critical analytics infrastructure that allows the finance organization to interpret complex operational realities. You will own the end-to-end analytics lifecycle for key finance domains, from raw ingestion to executive-ready storytelling. This position requires you to translate chaotic operational signals into coherent narratives that drive high-stakes strategic choices. You will be the primary architect of financial visibility into the performance of the Relay network. Your work will directly influence how the company allocates capital and prioritizes growth initiatives.

Key facts

What you'll do

Analyze driver-level economics to uncover margin leakage and model the financial impact of routing or operational changes.

Build and maintain cost per parcel dashboards that dissect variable and fixed components across client segments and geographies.

Champion profitability modeling for expansion scenarios, evaluating the viability of new service tiers or geographic footprints.

Architect client and cohort performance views that reveal retention risks and lifetime value trajectories for key accounts.

Deconstruct pricing dynamics by designing experiments and analyses that isolate the impact of rate changes on volume and profitability.

Develop operational KPIs dashboards that track network health, ensuring leadership can spot systemic issues before they escalate.

Translate raw warehouse and transit data into forecasts that finance can use for cash flow planning and scenario modeling.

Own the semantic layer and metric definitions to ensure consistency and trust across all financial reporting lines.

Collaborate with the Senior Data Scientist to align simulation outputs with real-world financial outcomes and decision frameworks.

Synthesize insights from disparate squads into cohesive narratives that answer specific commercial questions from finance stakeholders.

Establish data quality checks and documentation that sustain the reliability of financial models as the network scales exponentially.

Lead ad hoc investigations into anomalous financial performance, drilling into root causes with structured analytical rigor.

Design A/B test analytics strategies that measure the incremental impact of pricing or product changes on key financial metrics.

Define the future-state analytics roadmap for the finance squad, prioritizing initiatives that unlock higher-margin growth.

Requirements

Aim with Precision: You define problems clearly and measure your impact meticulously.

You possess a bachelor's degree in a quantitative field such as mathematics, statistics, or computer science.

You have at least 5 years of experience, ideally with some exposure to finance, FP&A, or commercial analytics.

You are fluent in SQL and experienced with dbt, capable of building robust, production-grade data models.

You demonstrate mastery over BI and visualization platforms, using them to design clear, actionable dashboards.

You communicate clearly with non-technical partners, explaining data provenance and limitations without jargon.

You are comfortable working across teams, building trust with squads to pull metrics and ensure data integrity.

You thrive in fast-paced environments where hypotheses are tested quickly and results are debated constructively.

You understand how finance teams think about metrics, drivers, and the constraints of GAAP accounting.

Nice to have

Experience working within a logistics, e-commerce, or marketplace operating model.

Prior exposure to pricing or profitability analytics in a B2B context.

Familiarity with simulation or optimization models used in logistics planning.

Practical notes

Hybrid arrangement requires 4 days in the Shoreditch office, with 1 day remote.

The hiring process is fast and focused, moving from talent acquisition to decision within one week.

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 bring your whole self to work and build the kind of culture where people love coming in every day.