Full-Time Head of Analytics

Are you ready to lead the charge in analytics at SOFTGAMES? We’re looking for a Head of Analytics - Fully Remote to drive our data strategy and empower our teams with game-changing insights.

As the leader of our high-performing team of four data analysts, you’ll play a pivotal role in shaping the way we leverage data to make bold, strategic decisions that push our games and business to the next level.

Your role

• Lead and mentor a team of 4 data analysts, fostering a culture of growth and collaboration
• Collaborate with development teams to implement data instrumentation and maintain high data quality
• Partner with game development and product management teams to identify strategic opportunities for our first-party games and business, using data-driven insights and metrics to guide execution
• Build and monitor predictive models that will help daily Product, User Acquisition and Monetization decisions
• Design and implement machine learning models to enhance decision-making and business strategies
• Work closely with stakeholders to translate business needs into data-driven insights
• Optimize data pipelines in collaboration with Data Engineers
• Ensure data accuracy, consistency, and scalability across analytics projects
• Work with tools such as SQL, Python, Databricks, and Tableau

Your profile

• 5+ years of experience in data analytics, with 2+ years in a leadership role
• Strong experience with machine learning models and deployment in production environments
• Proficiency in SQL, Python, and data visualization tools (Tableau preferred)
• Experience working with big data platforms (Databricks, Snowflake, etc.)
• Excellent English communication skills – ability to present insights to both technical and non-technical audiences
• A strategic mindset with a hands-on approach to problem-solving
• Understanding of experimental design, A/B testing techniques and player segmentation
• Games industry experience with a strong understanding of the game and player market
• Deep knowledge of game monetization, marketing strategies, and industry trends
• Experience in Product Data Science, including areas such as churn, LTV and ROAS prediction and lifetime value (LTV) analysis

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