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Jobs/Data Analyst Role/relay - Data Analyst - Pitstops
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relay

relay - Data Analyst - Pitstops

London - Hybrid5d ago
In OfficeMidEMEARetailLogisticsData AnalystSQLParceldbt

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Requirements

• Aim with Precision: You define problems clearly and measure your impact meticulously. • Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. • 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. • All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. • People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. • Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. • If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let’s connect. • Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

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. • Investigate LiveOps ticket load by category and reason. Quantify what each ticket type costs, where the volume is concentrated, and which pillars should systematise it next. • Define KPIs and build dashboards that make Pitstop performance transparent to the squad, to operations, and to leadership. • Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer. • You want to understand how an operation actually works, not analyse it from a distance. Pitstops are messy, varied, and behaviour-driven. The best work comes from people who can sit with operators, watch handovers happen, and translate what they see into measurable signals. • You're excited by cost and behaviour problems. Where is LiveOps spending time, what's driving handover friction, and where are systems failing in ways the data can show but the squad cannot yet feel. • You can navigate messy operational data and turn it into metrics people trust. • You're comfortable working alongside operations, design, engineering, and commercial stakeholders, and you can embed your analysis into their workflows. • You're fluent in SQL and experienced with BI tools, with strong problem-solving instincts. • You have at least 3 years experience, ideally with exposure to logistics, parcels, retail operations, or another network-scale operational business. • You care about impact, not just insight. Success in this role is measured by whether the Pitstop network can scale without LiveOps scaling with it. • You communicate clearly with non-technical stakeholders and can explain what the data shows, where the limits are, and what to do next.

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