Product Analyst - Star Trek Fleet Command

Scopely; Dublin; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

Scopely is seeking a Product Analyst to join the Star Trek Fleet Command team in Dublin on a hybrid basis. You will partner with game teams and data Platform to turn player and product data into actionable insights that drive live game health and performance.

The role emphasizes building analytical frameworks, using SQL and Python, applying statistical methods and ML to understand feature impact, and communicating findings to stakeholders across product, design, economics, engineering and

Qualifications

• Successful track record in an Analyst, Data Scientist or BI 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

Responsibilities

• Define goals and metrics across the full lifecycle and iterate on live outcomes.
• Analyze large data sets to identify opportunities in player behavior and monetization.
• Model and track data events; validate findings with rigorous methods.
• Use SQL and Python to perform deep-dive analyses and evaluate feature impacts.
• Apply causal inference and ML to understand drivers of metric changes.
• Translate results into actionable insights for product, design, engineering and leadership teams.
• Present findings to diverse teams to inform decisions and raise insight maturity.

Tools

SQL

Python

Job description

Scopely is looking for a Product Analyst to join our Star Trek Fleet Command team within our Live Games Portfolio division in Dublin, on a hybrid 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

About Scopely

Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star TrekTM Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.

Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.

Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.

Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/.

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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.