Relay Technologies - Data Analyst - Network
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Requirements
• 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 show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. • People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. • Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. • If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let’s connect. • Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Responsibilities
• Provide analytical oversight of the Network squad's models - demand forecasts, collection predictions, dimensions, shift release, and demand management allocation - in collaboration with Data Scientists and engineers • Investigate forecast errors by client, sort centre, day of week, and horizon - not just "accuracy is 92%" but "accuracy drops to 78% for TikTok on Mondays and here's what that costs us" • Quantify the CPP impact of model errors, working with the squad to understand how a 5% shift forecast miss translates into surge premiums or wasted capacity • Build dashboards that the squad and stakeholders rely on - accuracy tracking, bias monitoring, drift detection, model comparison before and after changes • Design alerting that surfaces model degradation before it hits operations, contributing to the squad's early warning capability • Partner with Data Scientists to validate model changes: did that retrain actually improve things, or did it just shift the error somewhere else? • Investigate when things go wrong - a forecast missed badly, a model drifted, a client's behaviour changed - working with the team to find out why and prevent recurrence • Translate model performance into language that Sortation, Last Mile, Middle Mile, and Finance can act on - helping build trust in the forecasts across the business • Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer • Experience investigating data quality and model performance - spotting when numbers don't look right and following through to understand why • Familiarity with how predictive models work - their behaviour, assumptions, and common failure modes • Strong SQL skills, with experience using dbt and BigQuery or similar tools to build analytical pipelines • Experience building monitoring dashboards that inform regular decision-making • Clear communication with both technical and non-technical stakeholders - explaining model performance without unnecessary jargon • At least 3 years of experience in a data analyst or similar role • Bonus: comfort with Python for ad-hoc analysis and automation • A focus on impact - success in this role means the squad catches problems faster and the models improve over time
Benefits
• 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. • Hardware of your choice. • Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). • 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.
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