What you’ll be doing:

• Develop a deep understanding of the dynamics of our product, including user behavior and the economics of Preply’s marketplace.
• Focus on the continuous improvement of our platform by gathering and analyzing data to uncover valuable insights that will shape product evolution and strategy.
• Analyze customer behavior and product usage, improve our understanding of what drives retention and effectively communicate findings to both technical and non-technical stakeholders to drive informed decision-making.
• Quantify and model the impact of new product features and initiatives, identifying growth opportunities and contributing to the prioritization of our product roadmap.
• Help define key performance indicators, tracking events, and engagement metrics that align with business goals and product improvements.
• Design, execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes.
• Build strong relationships with data and technical leaders to foster collaboration and drive cross-team initiatives.

What you need to succeed:

• Experience in data analytics working with product teams, experimenting and uncovering opportunities for product optimization.
• Experience designing and analyzing A/B tests with a strong grasp of relevant statistical concepts.
• Strong understanding of data analysis concepts such as conversion, LTV, cohort analysis, retention, etc.
• Proficiency in one or more programming languages (e.g., SQL, Python), with the ability to write efficient and scalable code.
• Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges.
• Ability to craft compelling stories with data and communicate complex insights in a clear and engaging way, driving change among diverse stakeholders.
• Interest in the bigger picture, feeling excited to impact the product roadmap and strategy.

Nice to have:

• Background in 2-sided marketplaces or digital businesses (B2B, B2C, B2B2C).
• Experience with product analytics tools (e.g. Amplitude, Mixpanel, Heap).
• Familiarity with machine learning techniques and how they can be applied to enhance user behavior predictions or product recommendations.
• Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI).
• Master's degree or PhD in a quantitative field.
• Previous experience in mentoring or coaching others.

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