Relay Technologies - Lead Data Analyst - Network
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
• 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
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