Product Data Specialist

About the role

You analyze player behavior and product performance to guide decisions that shape games, economies, and roadmaps. You design and validate tracking, build dashboards and data pipelines, and run playtests that turn complex observations into concrete, testable recommendations. You work in a hybrid, full-time role within the Gaming team in Paris, operating with SQL, Tableau, and dbt to turn raw events into reliable insight.

Key facts

What you'll do

• Synthesize gameplay telemetry, monetization events, and qualitative findings into evidence-based recommendations that shape features, economies, and future roadmaps.
• Design and prioritize A/B tests and benchmarks against competitor games, translating results into guidance on feature behavior and player segmentation.
• Own tracking design and QA processes, defining event structures, validating data quality, and guarding against gaps that would compromise analysis and risk assessments.
• Build and maintain dashboards in Tableau that surface product and monetization metrics, enabling stakeholders to monitor health, trends, and anomalies in near real time.
• Develop and support robust data pipelines that reliably transform raw logs into analysis-ready datasets, ensuring durability, performance, and clarity of lineage.
• Conduct comprehensive product playtests to observe player interactions, refine gameplay mechanics, and surface usability issues that feed into iteration decisions.
• Translate ambiguous product questions into structured analytical plans, applying rigorous problem-solving and statistical thinking to avoid premature conclusions.
• Partner with designers, producers, and cross-functional stakeholders to align on metrics, communicate insights, and close the loop on experiments and roadmap outcomes.
• Maintain curiosity for games and player behavior, navigating ambiguity while upholding standards for data integrity and methodological soundness.
• Document assumptions, limitations, and findings so that recommendations can be reviewed, challenged, and improved by peers with complementary expertise.

Requirements

• Hold a master degree in Statistics, Math, Engineering, Economics, or another quantitative field, and bring 2 or more years of experience as a Data Analyst or Data Scientist in a fast-paced environment with strong skills in building production-ready data pipelines.
• Write complex SQL queries to explore large, complex datasets, and demonstrate an ability to optimize queries for performance and correctness.
• Build and maintain production-ready data pipelines that are reliable, observable, and documented, with attention to error handling and data quality.
• Apply a high level of analytical rigor and problem-solving precision, with strong attention to detail when diagnosing data issues and interpreting results.
• Show a strong sense of ownership, a builder's mindset, and intellectual curiosity, taking initiative to identify problems and drive them to resolution.
• Turn complex concepts and analytical findings into actionable recommendations that non-technical stakeholders can understand and act on.
• Demonstrate curiosity for games and player behavior, and comfort working in ambiguous, evolving product contexts where answers are not immediately available.

Nice to have

• Experience using Tableau, with prior work that produced clear, audience-focused visualizations and dashboards.
• Experience with data modeling tools such as dbt, including versioning, testing, and documentation practices that support maintainable pipelines.

Engineering methods

• Apply SQL, Tableau, and dbt in your day-to-day work, using these tools to query data, visualize outcomes, and transform raw events into structured, governed datasets.

Relevant systems

• No specific systems are listed in the available data; tooling and platforms will be defined in collaboration with the team.

Practical notes

• The role is hybrid, full-time, within the Gaming team in Paris; exact onsite expectations are not specified in the available details.
• Compensation band and exact salary are not provided here;
• No specific gaming titles, data sources, or internal KPIs are defined in the available information; these will be clarified with the team.
• Details on tracking methodology, dashboard tooling beyond Tableau, pipeline technologies, playtest design, and ownership metrics are not specified here and will be clarified during onboarding.
• Visa or clearance constraints, if applicable, will be addressed during the hiring process.

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