Product Analytics Manager
PreplyBarcelonaPosted 27 March 2026
Tech Stack
Job Description
Product Analytics Manager
WE POWER PEOPLE’S PROGRESS.
At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.
We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.
Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.
MEET THE TEAM!
The Data team drives Preply to make the best decisions for our business, learners and tutors, by building a data-driven organization and the best data products.
As Data Managers, we are deeply involved in people, business, products, marketing, and technologies. In partnership with product managers, we look for business opportunities and take them to bring the company to the next level. All Product Analytics team members embedded in cross-functional squads (approximately 3 - 6) will report to this position.
As a fast-growing company, we face a wide range of technical challenges, some of which we even share on our Engineering Blog https://medium.com/preply-engineering. Please, also visit our Tech Radar https://tech-radar.preply.com/?_ga=2.72086362.855941533.1670530539-1369760810.1670530539 and our YouTube channel https://www.youtube.com/@Preplyengineering-ie3bb to learn more about the technologies we use at Preply!
WHAT YOU’LL BE DOING
- Hire, scale, and nurture a Monetization Product Analytics team. Define a long-term vision and set them up for success. Keep them motivated by fostering an environment where ambitious goals lead to meaningful wins.
- Inform & shape the strategy of Preply’s subscription model, payments operations, and learners scheduling experience as well as how tutors set their availability.
- Master the dynamics of tutors/learners interaction across multiple stages of the user journey (booking, subscription management, payments, etc.).
- Champion strategic projects that will change how we use data, and how we understand our users and business. Promote data literacy and self-service analytics across the organization.
- Enable accurate impact measurement for our product initiatives and an optimal prioritizing of the product roadmap.
- Work closely with our Data & analytics engineer team to define standard methodology, tools and best practices for your team.
- Participate in the definition of tracking events, engagement metrics and key performance indicators.
WHAT YOU NEED TO SUCCEED
- 3+ years of proven experience leading and managing Analytics and Data Science teams, with a strong track record of coaching, mentoring, and developing talent, complemented by 4 years of hands-on experience as an individual contributor in analytics.
- Demonstrated ability to set high standards, raise the technical bar, and instill a culture of accountability, curiosity, and continuous learning.
- Experienced in defining team strategy, setting priorities, and aligning analytics goals with company-wide business objectives.
- Experience with experimentation platforms, tracking definition as well as AB test design and evaluation.
- Hands-on experience with advanced analytics techniques (e.g., causal inference, predictive modeling, attribution methods) and solid grounding in SQL, Python/R, and BI platforms (such as Amplitude, Looker, Snowflake, Data Bricks or similar).
- Proven ability to lead change management, embedding experimentation and analytics into product culture with a creative mindset a ... (truncated, view full listing at source)
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