About Relay
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, and a recently closed Series B ($95M), Relay is scaling faster than 99% 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.
Responsibilities
•Track forecast accuracy across all Network models: demand forecasts, shift planning forecasts, dimensions model, BPP inclusion models
•Surface model drift and performance issues before they impact operations - you're the early warning system
•Diagnose forecast errors by client, geography, day of week, and horizon, and quantify the CPP impact
•Build dashboards that make model performance transparent to the squad and stakeholders
•Set analytical direction for the Network squad: define what metrics matter, where to invest analytical effort
•Work with Data Scientists to build the business case for model improvements, whether that's new input signals, data quality fixes, or client-specific treatment
•Monitor how capacity matches demand across Sortation, Middle Mile, Last Mile, and track shift release effectiveness
•Translate model performance into business impact that stakeholders can act on
Requirements
•You catch problems before they become crises - you're vigilant about when models start behaving unexpectedly
•You're obsessive about data quality and forecast accuracy - you hold models accountable for their predictions
•You're fluent in SQL and experienced with dbt/BigQuery - you can build and maintain analytical models
•You've built dashboards that are operationally critical, not just "nice to have"
•You have a passion for forecasting and predictive modelling - you're energised by understanding where predictions hit and where they miss
•You translate technical performance into business impact - CPP, surge costs, wasted capacity
•You're comfortable challenging Data Scientists when models aren't performing, and working with them to improve
•You communicate clearly with operations teams and can explain what the data shows without the jargon
•You have at least 5 years of experience as a data analyst or similar role
•You care about impact more than insight - you measure success by whether forecasts drive better decisions
Conditions
No conditions stated in the posting.
