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?.
Where will growth come from next? How does competition shape our pricing? Which incentives unlock more supply? How do inventory levels affect customer experience?Your insights will directly influence decisions across our Supply and Pricing teams, helping shape how we operate in markets around the world.
What You'll DoBuild causal inference models to understand the drivers of supply, pricing and assess the impact of our marketplace policies and pricing initiativesDesign and analyse experiments and quasi-experiments, including holdout groups, treatment effects and cannibalisation analysis.
Translate analytical findings into actionable recommendations, decision tools and guardrails for Revenue, Pricing and Supply teams.
Establish best practices for causal inference, experimentation and impact measurement, and mentor other analysts.
Communicate complex analytical work clearly to senior stakeholders and influence commercial decisions.
What You Bring4-8+ years applying causal inference and statistical methods to business problemsAdvanced SQL & Python (and/or R)Experience.