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. 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 1. Talent Acquisition Interview - 30 min 2. Technical SQL Interview - 1 hours 3. Hiring Manager Interview - 45 min 4. Case Study - 1 hour 5. Values & Impact Interview - 45 min 6. Decision and offer within 48 hours. Our process mirrors our pace of work. Compensation, Benefits & Workplace - Generous equity, richer than 99% of Europea