Data Analyst, Portfolio Analytics
ScopelyES - Barcelona, SpainPosted 25 April 2026
Job Description
Scopely is looking for a Senior/ Data Analyst to join our Strategic Analytics team in Barcelona 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.
The Strategic Analytics team supports the Scopely portfolio by providing insights, reporting, knowledge sharing, KPI frameworks, and scalable data products that leverage advanced analytics and AI to strengthen the long-term health of each game.
What You Will Do
As a Data Analyst in the Strategic Analytics team, you will play a central role in helping game teams across our portfolio drive long-term game health. You will leverage data to uncover player behavior insights, shape KPIs, and develop scalable reporting and knowledge-sharing tools. Your work will empower cross-functional stakeholders to make more informed decisions and align strategy across diverse game genres.
Analyze large-scale, complex datasets representing the behavior of millions of online and mobile game players to address strategic and operational business questions
Translate complex analyses into clear, actionable recommendations that drive business decisions
Provide insights about the health of our portfolio, both within and across genres, to drive business decisions across all key functions
Contribute to the development of jaw-dropping data products to more effectively surface the group’s findings
Define KPI frameworks and lead advanced analytical deep-dives to uncover actionable insights, while building scalable data products that help game teams improve and optimize LTV and loyalty.
Develop cross-portfolio analysis and reporting products that enable scalable, self-serve access to insights, drive strategic alignment across the company, and ensure data influences decisions at all levels
Leverage AI tools and techniques to accelerate analysis, automate repetitive workflows, scale insight generation, and enhance decision-making across the portfolio
Proactively identify opportunities to replace manual analysis with AI-driven or automated solutions, improving efficiency and depth of insights
Partner with Data Science and Data Engineering teams to develop and integrate advanced analytics and AI solutions into scalable data products
What You Will Need
Intellectual curiosity and analytical rigor, with a strong drive to leverage emerging technologies (including AI) to innovate and improve analytical workflows
3 or more years of experience as a Data Analyst, preferably at a top-tier institution or firm in an analysis, scientific, research, or consulting role
Strong presentation and Storytelling skills; ability to communicate complex results throughout an organization
Critical thinking and problem-solving capabilities
Working knowledge of SQL and comfort working in large data sets – exposure to BigQuery is a plus
Working Knowledge of visualization tools like Looker, Tableau, or Qlikview
Python experience for data analysis
Strong interest in leveraging AI as a co-pilot for analytics, with the ability to critically assess and validate AI-generated outputs
Advanced knowledge of Excel/Google Spreadsheets
B.S. (graduate degree a plus) from a top institution in a quantitative or scientific field (Math/Stats, Economics, CS, Engineering, Physics, or similar)
A love or strong desire to work with mobile games
Bonus Points
Prior experience working in the gaming industry is a plus, but not required
At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportuni ... (truncated, view full listing at source)
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