Lead Data Strategist

hace 1 día


Barcelona, Barcelona, España Preply A tiempo completo

Preply is a pioneering language learning platform, connecting 50,000+ tutors with millions of learners worldwide. Since its inception in 2012, the company has facilitated over 15 million lessons.

About Preply

At Preply, data-driven insights are crucial to every decision we make. We conduct hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, combined with the unique dynamics of tutor-learner interactions, presents an exciting opportunity for those looking to make a meaningful impact.

Job Description

You will be a key player in shaping the future of our subscription product and driving our monetization strategy forward as a Senior Data Scientist for the Subscription Experience team. Embedded within a cross-functional squad, you'll collaborate closely with product managers, tech leads, designers, and other key stakeholders to deliver data-driven insights that inform business decisions. Your work will guide the evolution of the subscription model, helping us better understand user behaviors, optimize pricing strategies, improve retention, and explore new opportunities to enhance the value we offer to learners and tutors alike.

Your Key Responsibilities:
  • Develop a deep understanding of our subscription model's dynamics, including user behavior, pricing strategies, and the economics of Preply's marketplace.
  • Focus on the continuous improvement of our subscription product 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.
Your Requirements:
  • 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.
  • A 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.
  • The ability to create clear, insightful reports and dashboards.
Compensation and Benefits:

We offer a competitive salary range of $140,000 - $170,000 per annum, depending on experience, along with a comprehensive benefits package that includes health insurance, retirement planning, and generous time-off policies.

Estimated Salary: $155,000/year

Please note that this is an estimate based on industry standards and may vary based on individual qualifications and experience.



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