Data Analyst - Routing & Sortation

Relay; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Relay operates a centralised data team of analysts, engineers and data scientists to support routing, sortation and operations decisions. You will sit with the Routing & Sortation teams but report into the central data group, collaborating daily with software engineers, warehouse operations, and finance.

The role focuses on monitoring route plans, improving predictive accuracy for parcel arrivals, and building dashboards that reveal the efficiency of routing, sortation and workforce planning.

Qualifications

• Strong data analysis and interpretation skills.
• Ability to build and interpret dashboards for operations KPIs.

Responsibilities

• Monitor the health of nightly route plans and identify issues.
• Predict parcel arrivals and improve prediction rules.
• Flag issues to warehouse managers and retailer teams.
• Monitor route optimization engine and flag regressions.
• Build reporting for routing and sortation performance.
• Investigate cost per parcel and identify savings opportunities.
• Track warehouse operative performance and shift utilization.
• Monitor sorting robot efficiency and capacity.
• Model workforce requirements for shifts.
• Define KPIs and create dashboards for transparency.

Skills

Data analysis

Dashboards

Routing & Sortation knowledge

Cross-functional collaboration

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 Overview Relay is a parcel delivery network. Every night, parcels from online retailers arrive at our sort centres, are sorted into delivery routes, and go out the next day with couriers.

Two things have to go right for that to work. Routing is the planning side: software that decides, before parcels have even arrived, which ones to expect, how to group them into routes, and how to make those routes efficient for couriers to drive. Sortation is the physical side: warehouse teams and sorting robots turning a building full of parcels into neatly separated routes, thousands of times a night. The two are tightly coupled. If the plan expects a parcel that never arrives, a courier's route has a hole in it. If the warehouse sorts a parcel the plan didn't expect, it has nowhere to go.

Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into teams across the business. You will sit with the Routing & Sortation teams but report into the central data team, working daily with software engineers, warehouse operations, commercial, and finance.

What You'll Do

• Routing Monitor the health of each night's route plans: how many parcels each route carries (planned vs what actually happened), how far couriers travel before their first delivery, and the routes no courier should ever be handed - a single parcel stranded miles from every other stop, or one route torn between two towns - and diagnose the cause when any of it moves
• Track how well we predict which parcels will arrive each night: when expected parcels don't show up, or unexpected ones do, work out whether the cause was the retailer's data, a warehouse error, or timing, and improve the prediction rules client by client
• Act on what you find: flag issues to warehouse managers and retailer-facing teams, and correct the plan when a retailer's parcels arrive outside the normal flow Monitor the route optimisation engine itself and flag regressions when the software or its inputs change Quantify how route design affects courier productivity: deliveries per hour, stops per route, distance between drops - and how far our actual routes sit from the best theoretically possible
• Build the reporting that diagnoses the middle leg of the network: the van journeys that move sorted parcels from sort centres out to local pick-up points where couriers collect them Partner with the engineers who build the routing systems to test and validate changes
• Sortation Investigate cost per parcel: where are we spending too much, where are savings available, and what's driving the variance
• Track warehouse operative performance: throughput, accuracy, shift utilisation, and the balance between permanent and agency labour
• Monitor sorting robot efficiency and capacity: what volumes can they sustain, where are the bottlenecks, how do they compare to manual sorting
• Build models to predict how many operatives each shift needs, and help automate workforce planning around the best performers
• Compare the parcel volumes retailers actually send us against what they told us to expect, and find where the gaps come from
• Define KPIs and build dashboards that make routing and sortation performance transparent to operations and