Senior/Expert Data Analyst

HI, WE’RE BACK MARKET. We’re here to help make tech reliable, affordable, and better than new. We're a global marketplace for refurbished devices, helping lower our collective environmental impact by providing trustworthy, affordable tech with 92% less carbon emissions than new. Yep, you read that right. Turns out refurbished tech is way better for the planet than new. In fact, With every device purchased on Back Market, our positive impact on the planet grows. From our Customer Care representatives to our software engineer, every individual at Back Market cuts the planet — and consumers — a break. Our mission is simple: to do more with what we already have. Are you ready to join us? Back Market runs on data. Every insight we surface, every model we build, every anomaly we catch is a step toward making refurbished tech the world's obvious choice — not the alternative. Our Data, Analytics & Insights team is expanding, and we're opening three analytical ownership roles at once: Strategy & Commercial, Customer Care, and Shipping & Logistics. One application. One process. We'll find the best fit together. Wherever you land, you'll own a domain end-to-end — from the data model to the boardroom decision. These aren't reporting roles. They're roles where your analytical judgment drives real business direction. YOUR MISSION (IF YOU ACCEPT IT) 🥇 Depending on which domain becomes your home, here's what you'll own: Strategy & Commercial Analytics - Monitor and diagnose commercial performance for Central Europe — weekly, proactively, with course-correction plans ready before anyone asks - Contribute to 12M+ sales forecasting and P&L budgeting, translating initiative impacts into tactical recommendations when the trajectory drifts - Build data models and tooling that surface actionable pricing signals to the commercial and revenue teams - Enable self-service access to pricing and supply health data across the organisation Customer Care Analytics - Own the measurement of customer satisfaction across all care channels — diagnosing root causes, quantifying downstream impact on retention, and delivering insights that improve operations - Build evaluation frameworks for AI-powered care tools (chatbots, automated resolution, agent assist) — measuring deflection rates, resolution quality, and cost-per-contact - Translate care contact patterns into product root-cause insights that directly reduce Contact Rate and improve Perfect Order Rate Shipping & Logistics Analytics - Lead analytical work across On-Time Delivery, Delivery Promise accuracy, and Delivery Contact Rate — attributing root causes across carrier, seller, and tracking dimensions - Build carrier performance models that inform carrier selection, BackShip adoption, and contract negotiations — connecting logistics KPIs to customer trust - Develop fraud detection frameworks within shipping incidents: quantify exposure, surface anomalous patterns, and support reduction of compensation costs Across all domains, you'll: - Own your analytical domain end-to-end — from data model to decision, you're the go-to person - Partner directly with senior leadership — not just delivering analyses, but shaping the questions we ask - At Staff level: mentor junior analysts and raise the bar for how the team approaches problems 🛠️ Tech Stack What the team works with day-to-day: - Data Warehouse: Google BigQuery - Transformation: dbt - Visualisation & BI: Omni, Amplitude - Languages: SQL (essential), Python (very useful) - Care tooling: Zendesk, Intercom - Experimentation: A/B testing and incrementality frameworks YOU ARE IN THE RIGHT PLACE IF ⭐ You have: - Strong SQL proficiency and comfort working with large, complex datasets — you can build the query and explain what the result means for the business in the same breath - A track record of owning analytical problem spaces end-to-end — outcomes that shaped business direction, not just answered one-off questions - A rigorous analytical mindset: you underst...