Senior Product 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?

Mission We are strengthening our experimentation capabilities to scale rigorous, high-impact product experimentation across the organization.

As a Senior Product Analyst – Experimentation, you will bring deep hands‑on expertise in experimentation (statistical, technical, and operational) and help structure how experimentation is run across product teams.

You will:

Help raise & enforce experimentation standards

Support Product Managers in becoming autonomous within a clear framework

Contribute to building and maintaining scalable workflows and governance

Ensure statistical and methodological rigor

You will report to the Customer Experience Analytics Lead and collaborate closely with Senior Leadership, Product, Engineering, and Data teams to support and execute the experimentation vision.

Responsibilities Elevate Experimentation Standards

Provide frameworks for proper test design (power, segmentation, guardrails, validity)

Help validate experiment setup before launch, without being a bottleneck

Review results to ensure sound statistical interpretation and learning

Promote best practices (AA tests, bias detection, metric consistency) to empower teams to run experiments confidently on their own

Structure Workflows & Governance

Contribute to defining experimentation workflows (from ideation to readout)

Provide guardrails that allow safe self‑service experimentation

Help formalize ownership, decision frameworks and review processes

Standardize templates for hypothesis, test plans and readouts

Ensure consistency of KPIs across teams and countries

Support the evolution of our experimentation platform usage

Enable PM Autonomy (Within a Framework)

Train and coach Product Managers on:

Hypothesis formulation

Basic statistical concepts

Interpreting experiment results

Reduce dependency on analysts for routine experiment execution

Strategic Product Partnership

Contribute to prioritization by sizing opportunities

Identify experimentation opportunities with high business impact

Ensure experiments are aligned with product and company strategy

Act as a reference point on experimentation topics within the Product Analytics team

Candidate’s Profile Experience

4–8+ years scaling Product Analytics and Experimentation

Strong hands‑on experience running A/B tests at scale

Experience structuring experimentation processes across multiple teams

Comfortable working in cross‑functional product environments

Analytical & Technical Skills

Strong statistical foundations (experimental design, inference, bias, power analysis)

Advanced SQL

Experience with experimentation platforms (Amplitude, Statsig, Eppo, Optimizely, …)

Strong understanding of tracking & data warehouse environments (e.g. BigQuery)

Experience with product analytics tools

#J-18808-Ljbffr