Senior Data Scientist

Senior Data Scientist

About Busuu

were scaling our mission to make language learning accessible and impactful for everyone.
What does a Senior Data Scientist do at Busuu?

Busuu. Reporting to the Senior Manager Decision Intelligence, youll collaborate closely with teams across Product, Marketing, and Finance to extract insights, optimise user experience, and drive business growth through data.
Youll be expected to independently lead high impact analytical projects, deliver clear insights to stakeholders, and contribute to the development of reporting and experimentation frameworks.
Key Responsibilities
Conduct in depth analyses to uncover trends, opportunities, and performance drivers across user engagement, monetisation and acquisitions.
Own the development and maintenance of dashboards, reports, and business KPIs in tools like Tableau.
Support the end to end analytics of the customer lifecyclefrom registration and activation to renewals and churnwith a focus on improving retention, conversion and lifetime value.
Evaluate campaign effectiveness and impact of new features/enhancements through robust data analysis and A/B testing.
Communicate insights clearly and concisely to non technical stakeholders through presentations and written reports
Collaborate with analytics engineering to resolve data inconsistencies, define requirements, and improve data reliability.
Support the wider I&A team in prioritising requests and ensuring data informed decision making across the business.
What were looking for in a Senior Data Analyst
5+ years of experience in data analytics and data science, preferably within a digital product or subscription based business.
Strong SQL skills and experience using BI tools like Tableau (or similar).
Proven ability to deliver actionable insights from large datasets.
Understanding of experimentation techniques and ability to analyse A/B test results.
Excellent communication skills with the ability to turn complex findings into compelling business recommendations.
A proactive, solutions focused mindset and attention to detail.
Strong stakeholder management skills and experience working cross-functionally with Product, Engineering, Marketing & Finance teams.
Nice to Have
Exposure to DBT and/or Python (e.g., pandas, scikit-learn).
Experience working in a subscription or freemium model environment.
Familiarity with statistical or predictive modelling techniques.
Passion for learning and staying up to date with the latest tools and trends in analytics.