Full time
Information Technology
Telecommunications
Job Description
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".