About the company
Sorare is a fantasy sports gaming experience and marketplace featuring officially licensed digital player cards. With Sorare you build legacy teams – buying, selling, collecting and trading player cards -- and compete with them in free-to-play fantasy games to win rewards week over week and season over season, just like a professional sports owner. Sorare is revolutionizing digital sports fandom, and now has over 3,5 million users across 180 countries. More than 300 iconic teams, clubs, and organizations including the Premier League, La Liga, Bundesliga, Serie A, MLS, NBA, NBPA, MLB, MLBPA, and many others have partnered with Sorare to build the next sports entertainment giant.
Job Summary
As a Growth Data Analyst at Sorare, you will :
📍Conduct thorough analysis of user acquisition, engagement, retention and conversion performance 📍Generate regular reports and dashboards to communicate key insights to product and marketing teams. 📍Collaborate with product teams to define and implement relevant KPIs 📍Design and analyze A/B tests and experiments to optimize product features and user flows 📍Provide recommendations based on experiment results to drive product improvements. 📍Work closely with product managers, engineers, growth managers and UX/UI designers to align data insights with product development goals. You will need to communicate findings in a clear and accessible manner to non-technical stakeholders. 📍Collaborate with the data engineering team to optimize data models in dbt
The ideal candidate:
📍4+ years of data analysis experience in a product-focused environment 📍BA/BS in a quantitative field such as Statistics, Mathematics, Economics, or related discipline 📍Strong proficiency in data analysis tools and languages (e.g., SQL, Python) 📍Experience with A/B test design, implementation, and measurement 📍Experience with data visualization tools (e.g., Looker, Tableau) and product analytics tools (Amplitude, Heap) is a plus 📍Excellent spoken and written communication skills and the ability to convey complex findings in a clear and understandable way
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