Lead Data Analyst – Network

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 have at least 5 years of experience as a data analyst or similar role
• You’re fluent in SQL and experienced with dbt/BigQuery
• You care about impact more than insight – you measure success by whether forecasts drive better decisions.
• You can build and maintain analytical models
• You have a passion for forecasting and predictive modelling – you’re energised by understanding where predictions hit and where they miss.
• You communicate clearly with operations teams and can explain what the data shows without the jargon.
• You catch problems before they become crises – you’re vigilant about when models start behaving unexpectedly.
• You translate technical performance into business impact – CPP, surge costs, wasted capacity.
• You’ve built dashboards that are operationally critical, not just “nice to have”.

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