Relay Tech

1 month ago

Data Analyst - Pitstops

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

The Data Analyst in Relay's Pitstop squad will own and monitor five outcome metrics (Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, Indirect Cost per Parcel), build and maintain the monitoring layer, and translate data into actionable steps for operations. You’ll run analytics on pitstop performance and pricing, quantify cost impact of initiatives, develop launch readiness analytics, and shape retention and onboarding feedback loops in a central data team with cross-functional collaboration.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Own the Pitstop squad's five outcome metrics: Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, and Indirect Cost per Parcel. Build the monitoring around them, investigate movement, and translate the numbers into next actions for the squad.
•Run the analytics behind pitstop performance and pricing: which behaviours move handover speed, how commercial tiers and clawbacks are landing, which pitstops are systematically under- or over-performing, and what the in-app nudges are actually changing on the counter.
•Quantify the impact of squad initiatives in cost terms: how much LiveOps load did this self-serve flow remove, how much Middle Mile driver time did this handover prompt unlock, and what is the CPP impact of retention work on mature pitstops.
•Build launch readiness analytics: cohort ramp curves, time-to-maturity, where new pitstops break in week one, and how the launch playbook should evolve as volume grows.
•Build the retention layer: a health score for pitstops, at-risk alerting, churn diagnosis triaged by cause, and the feedback loop back into acquisition and onboarding.

Key Requirements

•Must have strong SQL fluency and experience with BI tools to build dashboards and reports.
•Minimum of 3 years experience in logistics, parcels, retail operations, or a network-scale operational business.
•Able to navigate messy operational data and translate it into measurable signals that drive action.
•Excellent communication skills to explain data findings to non-technical stakeholders and influence decision-making.
•Self-starter who can embed analysis into cross-functional workflows with operations, design, engineering, and commercial teams.

Experience:3+ yearsLogisticsParcelsRetail operationsOperations data

Skills:CommunicationProblem-solvingStakeholder managementAttention to detailCollaboration

Tech Stack:SQLDbtBI toolsData visualizationDashboarding

Company Brief

Relay Tech

Relay Technologies (relaytech.co) is an API-first, tech-enabled delivery network that optimizes e-commerce deliveries using AI-driven routing, real-time tracking and a distributed courier network to lower costs and emissions for retailers.

Industry: Last Mile Delivery

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Valuation: USD 100M to 250M

Funding: Series A

Headquarters: London, United Kingdom

Founded: 2022

Website LinkedIn

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Relay Tech

1 month ago

Data Analyst - Pitstops

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Own the Pitstop squad's five outcome metrics: Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, and Indirect Cost per Parcel. Build the monitoring around them, investigate movement, and translate the numbers into next actions for the squad.
•Run the analytics behind pitstop performance and pricing: which behaviours move handover speed, how commercial tiers and clawbacks are landing, which pitstops are systematically under- or over-performing, and what the in-app nudges are actually changing on the counter.
•Quantify the impact of squad initiatives in cost terms: how much LiveOps load did this self-serve flow remove, how much Middle Mile driver time did this handover prompt unlock, and what is the CPP impact of retention work on mature pitstops.
•Build launch readiness analytics: cohort ramp curves, time-to-maturity, where new pitstops break in week one, and how the launch playbook should evolve as volume grows.
•Build the retention layer: a health score for pitstops, at-risk alerting, churn diagnosis triaged by cause, and the feedback loop back into acquisition and onboarding.

Key Requirements

•Must have strong SQL fluency and experience with BI tools to build dashboards and reports.
•Minimum of 3 years experience in logistics, parcels, retail operations, or a network-scale operational business.
•Able to navigate messy operational data and translate it into measurable signals that drive action.
•Excellent communication skills to explain data findings to non-technical stakeholders and influence decision-making.
•Self-starter who can embed analysis into cross-functional workflows with operations, design, engineering, and commercial teams.

Experience:3+ yearsLogisticsParcelsRetail operationsOperations data

Skills:CommunicationProblem-solvingStakeholder managementAttention to detailCollaboration

Tech Stack:SQLDbtBI toolsData visualizationDashboarding

Company Brief

Relay Tech

Industry: Last Mile Delivery

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Valuation: USD 100M to 250M

Funding: Series A

Headquarters: London, United Kingdom

Founded: 2022

Website LinkedIn