Senior/Expert Data Analyst, Back Market

• 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 understand causal vs. correlational reasoning, know the limits of your data, and can design a measurement framework from scratch
• Excellent communication and storytelling skills — you distil complex, multi-variable analyses into crisp narratives that move senior stakeholders to act
• Experience in business analytics, commercial strategy, or a customer-facing operations domain (marketplace, e-commerce, logistics, or similar)
• 5+ years of experience in data analytics, or equivalent hands-on analytical ownership
• Even if you don't tick every box, we encourage you to apply. We value diverse analytical backgrounds and unconventional paths to expertise

Desirable

• 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
• 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