Product Analyst - Star Trek Fleet Command

Scopely is looking for a Product Analyst to join our Star Trek Fleet Command team within our Live Games division in Barcelona, on a hybrid or remote basis.  

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.   

Star Trek Fleet Command's ongoing success goes from strength to strength. Our in-house developed 4X MMO was launched in 2018 and continues to evolve, being consistently one of the top 10 gross revenue Massive Multiplayer Strategy games on the market.  

What You Will Do  

We are looking for a Product Analyst to help evolve one of our leading game franchises at Scopely. You will join a team of Product Analysts, partnering with our game team as well as central data platform and publishing teams, using player and product insights to focus our efforts on the most impactful performance and sustainable long-term health of the game.

• Work across diverse teams through the full game development lifecycle, from defining goals and metrics through to monitoring and iterating actions based on live outcomes  
• Help set the direction for new features, analysing rich and varied data sets representing the behaviour of millions of players to understand where our best opportunities exist  
• Model and track data events, debugging and problem-solving using your mathematical and systems thinking skills to ensure the quality and utility of your findings  
• Use SQL and Python to conduct deep-dive analyses, build robust analytical frameworks, and evaluate the impact of product launches, features, events, and live game changes on key player and business metrics
• Apply advanced statistical modeling, causal inference, and machine learning techniques - such as Difference-in-Differences, regression modeling, predictive modeling, and other appropriate methods - to understand whether observed changes in metrics are driven by product actions, player behavior shifts, or external factors
• Translate complex analytical results into clear, actionable insights for stakeholders across product, design, economy, engineering, and leadership teams
• Present findings to multiple disciplines, using empathy, storytelling, and influencing skills to demonstrate relevance, support decision-making, and raise the overall insight maturity of teams across the studio

What We’re Looking For 

• Successful track record in an Analyst, Data Scientist or Business Intelligence related role  
• Strong proficiency in SQL, with experience working with large and complex datasets
• Strong proficiency in Python for data analysis, statistical modeling, automation, and advanced analytical workflows
• Experience applying statistical modeling, causal inference, experimentation, and/or machine learning methods to answer complex product or business questions
• Strong understanding of statistical concepts and the ability to choose the right analytical method based on the business question, data structure, and available evidence
• Excellent English communication skills, both written and verbal
• Compelling presentation skills, with the ability to distill complex analyses and technical results into clear recommendations for colleagues at all levels
• An independent mindset, with the ability to work autonomously, apply curiosity and rigor, and proactively identify opportunities for deeper analysis
• Passion for continuous learning in a highly collaborative environment
• Working knowledge of visualization tools and techniques is beneficial
• A love for, or strong desire to work with, video games