Hybrid Data Analyst – Network

at ERLPhase Power Technologies Ltd.

• Job title: Data Analyst – Network
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: BigQuery, C++, Python, SQL
• Location requirements: Hybrid, London, United Kingdom

About the role

• Data Analyst in Network squad focusing on demand forecasts and model performance analysis at Relay. Investigating errors and building dashboards to enhance operational efficiency.

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

Requirements

• 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).