Photoroom
Senior Product Analyst

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About Us
Founded in 2019 and part of Y Combinator's 2020 cohort, Photoroom is the leading visual solution for e-commerce.
We've raised Series B funding and reached 300+ million users worldwide, processing over 5 billion images annually and serving both small businesses and major enterprises like Amazon, DoorDash, and Decathlon through our mobile app, web platform, and API.
We're a remote-friendly team of 100+ passionate builders giving e-commerce businesses superpowers to create visuals that help them grow, making the hardest parts of selling online disappear. We focus on craft, innovation, and collaboration, creating exceptional impact for e-commerce businesses worldwide.
Role Summary
We're looking for a Senior Product Analyst to establish our product analytics function and bring deep analytical rigor to product decision-making. You'll work closely with Product, Engineering, and Design on product planning, designing A/B tests, and creating analytics frameworks that enable data-driven product development.
Compensation: 90-110k (local currency)
Location: Remote across Europe with monthly Paris office visits (fully reimbursed)
About The Role
- Conduct deep-dive analysis of feature success, retention drivers, and long-term engagement patterns to generate actionable product insights and inform roadmap decisions
- Work closely with Product Management, Engineering, and Design on product planning, bringing a data lens to ideation and concept evaluation throughout the product development lifecycle
- Design and structure A/B tests to ensure statistical rigor, including experiment design, sample size calculations, and analysis of results using cohort analysis and causal inference methods
- Create analytics frameworks and event taxonomy to maintain data quality, partnering with the data platform team to keep data sources clean and well-defined
- Enable Product Manager self-service through tooling, documentation, and light-touch support, using AI tools and MCP integrations to turbocharge analyses and scale impact
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
About You
- 5-10 years experience in product analytics or data science with deep familiarity with A/B testing, experiment design, and cohort analysis within platforms such as Mixpanel or Amplitude (mobile app experience is a plus)
- Proven ability to apply behavioral and statistical analysis methods such as behavioral clustering, propensity score matching, and regression modeling to deliver actionable product insights
- Fluent in SQL and Python with strong technical skills for data manipulation, analysis, and visualization
- Strong product sense with ability to generate product and behavioral hypotheses from data insights and experiment results, translating business questions into structured analytical approaches
- Excellent communication skills, able to communicate clearly around data insights, limitations, and approaches to technical and non-technical audiences, comfortable using AI tools to enhance analytical output
If you think you have what it takes but don't meet every single point above, please still apply. We'd love to chat and see if you could be a great fit.
Benefits
- Work flexibly from Germany, UK, Italy, France, Ireland, Portugal or Spain, with monthly Paris office visits (fully reimbursed)
- Regular team gatherings, including in-person onboarding in Paris (1-2 weeks), yearly company offsite and team retreat, quarterly in-person meetings (monthly during probation period), and social events like winter party and hackathons
- 30 days annual leave plus local public holidays
- Competitive equity package with stock options/BSPCE, giving you ownership in our growing company
- €1000 one-time home office grant OR €400 per month co-working space stipend
- €1,000 annual learning and development budget for training, courses, books, and skill development
- Private health insurance
- Access to personalised mental health support, including 1:1 sessions with therapists or coaches, self-care tools, and well-being resources via MokaCare
- Sports and cultural activities reimbursement
- Relocation support (up to 10k) available for those choosing to move to France, including apartment finding and visa assistance


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Note: Visa sponsorship and relocation support are only available for positions based in France. We cannot sponsor visas for remote positions outside of France.
Hiring Process
- Screening call with Talent Manager (30min)
- Technical interview with Hiring Manager (1 hr)
- Take-home assignment (duration varies by role) and live review with the team (1 hr)
- Culture fit interviews and meet the team (~3h in total)
- Reference check and offer
Diversity, Equity, Inclusion, and Belonging
We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds.
That's also why we have flexible working hours, trust people to work remotely, and extended parental leave.
All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.
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