Product Analyst - Star Trek Fleet Command

Scopely; Barcelona; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

Scopely is hiring a Product Analyst for their Star Trek Fleet Command team in Barcelona. This role requires expertise in SQL and Python, along with a solid track record in data science or analytics. You will analyze player behavior data to inform product decisions and collaborate across teams to enhance game features.

The candidate should possess strong analytical, presentation, and communication skills, and ideally, have a passion for video games. The position offers flexibility with hybrid or remote work options.

Formación

• Successful track record in an Analyst, Data Scientist, or Business Intelligence role.
• Experience with large datasets and complex analyses.
• Ability to distill complex analyses into clear recommendations.

Responsabilidades

• Work across teams through the game development lifecycle.
• Set the direction for new features using data analysis.
• Model and track data events for quality analysis.
• Conduct analyses using SQL and Python.
• Apply statistical modeling and machine learning techniques.
• Translate analytical results into actionable insights.
• Present findings to multiple disciplines effectively.

Conocimientos

SQL proficiency

Python for data analysis

Statistical modeling

Communication skills

Presentation skills

Herramientas

Statistical modeling tools

Visualization tools

Descripción del empleo

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.

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

What You Will Do

• 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

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.