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We’re working with an innovative platform in the job search industry, used by millions to connect employers and job seekers. We’re seeking a Product Data Analyst who wants to have a real impact on how our product evolves. Your mission will be to support the product team in making better, data-informed decisions, from analyzing user behavior and validating hypotheses to running A / B tests and turning results into actionable insights.
You’ll collaborate cross-functionally with developers, designers, product managers, and other analysts, and contribute to key initiatives such as recommendation systems, search optimization, monetization, and marketing performance.
What you’ll do :
Collect and structure data from various internal sources.
Ensure data quality and help define / improve data pipelines.
Analyze user behavior and identify opportunities to improve the product.
Support product teams throughout the full feature lifecycle : hypothesis, implementation, tracking, and measurement.
Design and evaluate A / B tests.
Translate business questions into clear, actionable analysis.
Contribute to the evolution of our data infrastructure and analytics practices.
What we’re looking for :
3+ years of experience in data analysis, ideally in product-focused environments.
Strong SQL skills to work directly with databases.
Practical experience with Python (or R) for data processing and analysis.
Ability to turn data into insights and insights into business recommendations.
Solid understanding of key product and marketing metrics : MAU, retention, LTV, CAC, etc.
Good grasp of statistics and experimental design (e.g., A / B testing).
Ability to visualize and communicate data effectively (experience with BI tools like Tableau is a plus).
Hands-on experience with data infrastructure tools (e.g., Redshift, Airflow, AWS).
Real interest or experience in Machine Learning, even self-taught.
Familiarity with mobile app tracking and analytics.
What we value beyond the resume :
Product thinking and critical mindset.
Ability to work independently, while collaborating effectively with others.
Eagerness to learn, improve, and challenge the status quo.
Flexible working hours and remote work options
Professional growth and development opportunities
Dynamic, innovative, and collaborative work environment
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Information Technology
Industries Technology, Information and Media
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