Data analyst in network forecasting

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.

• 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

• 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

• Условий в вакансии нет