• Develop an expert level understanding of Signify’s core product offerings and analytics technology. • Define, track, report out, and explain product metrics including performance and profitability. • Build and maintain robust data transformation models using dbt and utilize Claude Code to accelerate SQL development and technical documentation. • Build and maintain Power BI dashboards and reports to track product health, highlight insights, and monitor the success of product initiatives. • Architect Snowflake semantic views to power Snowflake Intelligence, enabling natural language data discovery for stakeholders. • Deploy and manage AI agents within the data warehouse to automate monitoring and proactive alerting of product performance anomalies. • Become a key partner with Product, Engineering, Operations and Analytics teams to drive key Signify objectives. • Be a champion of A/B testing and help stakeholders throughout the company design, analyze, and interpret A/B tests correctly. • Able to use alternative causal inferences techniques when A/B testing is not feasible. • Develop ROI projections for analytics projects to prioritize analytics deliverables by impact to the business. • Communicate progress, barriers, priority and budget regularly with leadership. • Tell compelling stories through data, articulating technical information to a non technical audience.

• Acquiring, organizing, measuring, and interpreting data from primary and secondary sources to support our analytic initiatives. • Supporting the identification of product opportunities and performance trends using appropriate analytical techniques. • Delivering custom data solutions to our partners (business customers), providing them with valuable insights and actionable recommendations. • Collaborating with data and software engineering teams to support the growth and reliability of Peek’s data warehouse and data marts. • Assisting in the preparation and delivery of analytics projects, ensuring high-quality and timely completion. • Working closely with our product management, marketing, and success teams to enhance the revenue capabilities of our flagship SaaS booking platform, leveraging data-driven insights. • Supporting internal financial initiatives by collaborating with our finance department, providing data analysis to inform financial decision-making. • Actively participating in the analytics community at Peek, sharing best practices, contributing to analytics forums, and staying up to date with industry trends and advancements. • Experimenting with AI tools, including large language models (LLMs), to increase the efficiency of analysis, automate repetitive tasks, and improve how insights are generated and communicated.

• Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions • Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results • Prototype analytics solutions and data products to accelerate product development • Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications • Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data • Building, maintaining, and testing data models which support reporting and analytics. • Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning

About us Photoroom launched in 2020 after being accepted into Y Combinator and has become the world's most popular AI photo editor over the past four years. Our goal is to create the technology allowing anyone create studio-level product images in minutes. With over 300 million downloads and processing 5+ billion images annually, we serve both individual creators and major enterprises like Amazon, DoorDash, and Decathlon through our B2C app and B2B API solutions. We're a profitable, remote-friendly company that has raised Series B funding and aims for 40% year-over-year growth. Our team of 100+ passionate builders focuses on craft, innovation, and collaboration, creating exceptional impact for entrepreneurs and 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 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 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) - Online Technical Test (30mins) - 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.