.Preply is a global language learning marketplace, connecting 50,000+ tutors with millions of learners from all over the world. Since the company launched in 2012, students have signed up to more than 15 million lessons. Backed by some of the world's leading investors, Preply is on a mission to shape the future of effective learning. Fueled by a belief that live engagement with a teacher is still the most effective way to learn a new skill.Preply is building a personalized learning space that will enable individual learners to reach their goals in the fastest way possible. Powered by a tenfold increase in revenues over the last three years, Preply is now leading the online language tutoring segment globally and has 400+ employees of over 50 nationalities based across Barcelona, Kyiv, and the US. Preply is driven by a culture of experimentation and data-driven learnings, focused on building best-in-class consumer and enterprise solutions.As a Senior Business Strategy Data Analyst, you will: Develop and implement data frameworks to steer the dynamics of tutors/learners interaction and the economics of Preply's marketplace, collaborating across functions on actions to take; Support strategic projects (such as group classes, or changing commission scheme) with deep analysis, modeling of different scenarios, and forecasting; Build data solutions to empower the team to work more efficiently, such as automation of repetitive analyses and creating dashboards; Prepare data required for investor updates and funding rounds, spanning across all aspects of the business; Conduct market intelligence studies, track market performance over time and share insights across the organization; Communicate resultsand insights from your analyses to our top stakeholders, including investors and our Leadership Team.What we are looking for: Around 3-5 years' experience in Business Intelligence/Analysis or within similar roles, having focused on data analytics for business growth strategy; Previous experiencein Marketplaces / digital businesses (B2B, B2C, B2B2C) or Management Consulting / Investment Banking for fast-paced Technology companies; Domain of quantitative fields (statistics, mathematics, etc.); Experience in predictive modeling is not required; Proficient coding skills in SQL; Outcome-driven witha strong curiosity towards the business. Passionate about problem solving and problem finding; Creative mindset and proactive attitude towards the creation and evaluation of new hypotheses; Fluent in English and eager to work on a global product as part of a multicultural and international team.Nice to have: Knowledge of Looker, Tableau, Amplitude, Snowflake; Extensive knowledgeof several growth and retention analytics frameworks