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Senior Data Analyst - Marketplace Analytics

seniorremoteBarcelona, ESСкор undefined/100сегодня
Аналитика рынка
📊 AI / ML / DS: зарплаты и спрос на рынке
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Описание
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! This role is embedded within either the B2B or Customer Care domain and is part of Preply’s Data Chapter. You will work closely with directors, operations leaders, and cross-functional partners across finance and product teams, while collaborating with data analysts, data scientists, and analytics engineers to strengthen analytical foundations and business impact. What you’ll be doing: You will partner with senior stakeholders in Business and Operations teams to proactively identify where new analyses, metrics, or frameworks can unlock improvements in retention, revenue, and operational efficiency. Lead high-complexity, end-to-end analytical initiatives, from ambiguous problem framing to business impact, uncovering root causes and hidden drivers behind key performance metrics such as revenue retention, LTV, churn, utilization, operational metrics, and cost efficiency Design and validate KPI frameworks to ensure consistency, reliability, and cross-team alignment; clarify trade-offs in definitions and measurement logic across Operations, Finance, Marketing, and Product Desig
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