Relay
Logistics
LeadDataAnalyst-Network
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Data Analyst - Network at Relay. Skills: Forecasting, Data analysis, Model oversight. Track forecast accuracy. Surface model drift”
What You'll Achieve.
Ensure models keep working; Set analytical standards; First line of defence when something breaks
Industry & Context.
Root cause analysis; Troubleshooting model issues
What They're Looking For.
Must Have
5 years of experience as a data analyst, SQL proficiency, dbt proficiency
Nice to Have
PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, dbt Certified
What You'll Do.
Track forecast accuracy
Diagnose forecast errors
Set analytical direction
Build business case for improvements
Monitor capacity matches demand
Track shift release effectiveness
Translate model performance into business impact
How You'll Work.
Team & Collaboration
Network squad; Data Scientists; Operations teams; Sortation; Middle Mile; Last Mile; Routing; Finance
Communication Scope
Explain data; Stakeholder communication
Process & Methodology
Analytical direction
Full Job Description
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay’s Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM • ~110 people, more than half in engineering, product and data • 45+ advanced degrees across computer science, mathematics and operations research • Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle • An intellectually vibrant culture of first‑principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's network runs on forecasts. How many parcels arrive tomorrow. Which ones to sort tonight. How many shifts to release. When those forecasts are wrong, the cost shows up in CPP: too few shifts and you pay surge premiums, too many and you waste capacity. Behind each forecast is a model, and those models need someone watching them, catching drift, and surfacing problems before they hit operations. As Lead Data Analyst for the Network squad, you will own the analytical oversight across Relay's forecasting systems. That means tracking model performance across demand forecasting, shift planning, dimensions, and BPP inclusion. When a model starts missing, you catch it. When forecast error costs money, you quantify it. When stakeholders say "the forecast was wrong," you investigate and build the case for what to fix. This is not a model-building role. The Network squad's Data Scientists buil
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