Role overview

• Support product decisions, user behaviour analysis, and operational insights at Scorpii Score.
• Turn raw data into clear stories, dashboards and actionable recommendations to influence product roadmap.

Key responsibilities

• Analyse user behaviour, engagement patterns and prediction performance to identify trends and opportunities.
• Build dashboards and reports that surface product trends for product, engineering and content teams.
• Use SQL to pull and structure data; use Python for data cleaning, exploration and visualisation.
• Identify insights to improve retention, gameplay and scoring logic, and collaborate on data-driven decisions.

Required skills & profile

• Proficient with SQL and Python for analysis and data manipulation.
• Strong analytical thinking and familiarity with basic statistical concepts (correlation, distributions, significance).
• Able to communicate insights in a simple, visual and convincing way.
• Interest in football analytics or sports data is a plus (not mandatory).

What you’ll gain

• Exposure to real-world product analytics at scale and the chance to influence product decisions and user experience.
• Experience analysing football user behaviour across thousands of predictions in a fast-growing environment.
• Direct impact: insights you produce will shape the product roadmap and operational choices.

How to apply

• Apply via the online link provided below to submit your application and documents.
• Prepare examples of SQL/Python work or dashboards if available; highlight any sports- or product-analytics experience.