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.
