Data Analyst

Description Data Analyst | Modellama Join a growing data-driven sports-tech company and help shape the next phase of our research team. About Modellama: Modellama is a pioneering company that blends advanced statistical modeling, cutting-edge algorithms, and a deep passion for sports—especially soccer. Since 2009, we’ve been transforming data into winning insights by combining data science, expert knowledge, and real-time information processing. About the Role: As part of our continued growth and expansion, we’re looking for a Senior Data Analyst to join our Research Department. This is a new role within a growing team, offering a unique opportunity to influence how data, models, and insights evolve at Modellama. What You’ll Do: Work hands-on with large, evolving datasets to explore patterns, validate hypotheses, and uncover meaningful signals. Collaborate closely with a growing research team to design, refine, and scale analytical and research methodologies. Take part in shaping how research questions are defined, explored, and translated into actionable insights. Build, test, and iterate on advanced logic flows and analytical frameworks to detect key events and behaviors. Lead exploratory, recurring, and ad hoc analyses — from raw data investigation to clear, insight-driven conclusions. Continuously challenge assumptions, improve data quality, and explore new tools, techniques, and data sources through experimentation and research accuracy. Translate complex analytical findings into clear narratives that support strategic and research-driven decisions. Who You Are: You’re curious, proactive, and love turning data into action. You think in terms of value, not vanity metrics — and you’re not afraid to experiment, fail, learn, and improve. You take ownership of your work from start to finish, communicate with confidence, and enjoy collaborating with diverse minds. Requirements Requirements: 3–5 years of experience as a Data Analyst. Strong SQL skills (SQL Server). Programming experience in Python or R. Solid Knowledge in statistics. Genuine passion for sports (soccer, basketball, etc.). Nice to Have: Interest in FinTech, algorithmic trading, or related fields.