Senior Data Analyst - End Customer

Senior Data Analyst - End Customer 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 As a highly operational business, we rely on data to guide everything we do. We are a small but impactful data team that works on everything from operations research to optimise thousands of parcel deliveries daily, to detailed business metrics that drive our expansion and investment decisions, and everything in between. We are looking for a Senior Data Analyst to work on End Customer. This role is an opportunity to apply your analytical skills directly to the design and performance of critical logistics infrastructure as we scale. You’ll work closely with squads across routing, sortation, first mile, middle mile, last mile, marketplace, and our commercial functions, and collaborate with operations, product, and engineering to identify problems, shape hypotheses, and deliver insight. You’ll be an embedded contributor within key cross-functional squads, with strong exposure to real-world operations and the opportunity to drive meaningful change through data. End Customer - Customer Delivery Experience & Preferences: Analyse customer delivery behaviors and preferences to optimize collection rates and safe place adoption. Examine delivery attempt data, customer notifications, and interaction patterns to understand what drives successful handovers versus customer collections. Use experiments and simulations to refine delivery windows, notification timing, and safe place recommendations, reducing courier handover time while improving overall delivery success rates. - End Customer Product Analytics: Analyse how customers interact with Relay's end customer-facing features across delivery tracking, notification channels, and collection workflows. Run experiments to evaluate the impact of communication timing, delivery option visibility, and interface changes on customer engagement, collection rates, and delivery preferences. Translate customer behavioral insights into actionable product improvements that drive customer-centric decision-making and measurable operational outcomes. Who Will Thrive in this role? - Define key performance indicators and build dashboards that make operational performance transparent and actionable - Support analysis of operational performance and help identify levers for improvement - Translate business problems into analytical questions – and analytical results into clear, actionable recommendations - Collaborate with data scientists, engineers, and operators to build data tools and surface performance insights - Contribute to scoped data projects from definition to delivery, with support from an experienced team of data professionals - 5+ years of experience as a data analyst or in a similar role - Strong SQL skills and experience with BI/data visualisation tools - Well-developed analytical and problem-solving skills, with a proven ability to derive insight from complex data ... (truncated, view full listing at source)