Description
Are you an aspiring Product Analyst with a passion for data and an interest in data science? Do you enjoy using data-driven insights to impact business decisions and improve user experiences? Are you passionate about video games and eager to contribute to the success of a top-grossing F2P RPG game? This is your opportunity!
We are looking for a motivated Product Analyst to join our team in Barcelona. In this role, you will support the analysis of game data, collaborate with various teams, and contribute to improving our game’s revenue, retention, and engagement. The ideal candidate is a team player who values learning, has a keen interest in product analytics, and is curious about exploring data science techniques.
As a Product Analyst, you will work closely with Product Managers, Game Designers, and Engineers, using data to understand user behavior, player experience, and the overall game economy. This role offers a great opportunity to develop your skills in both product analytics and data science while making a meaningful impact on our game’s success.
What You Will Do:
Analyze large, complex data sets representing the behavior of millions of online and mobile game players to address strategic and operational business questions.
Apply data science techniques, such as predictive modeling and A/B testing, to improve user retention, optimize monetization strategies, and enhance player experiences.
Collaborate with various teams to ensure data-driven insights influence decisions at all levels.
Develop frameworks, models, and tools to drive actionable insights that shape game features, LiveOps, game economies, and future product roadmaps.
Create comprehensive reports and presentations to communicate findings, conclusions, and actionable recommendations to stakeholders.
What we are looking for:
A strong desire to learn and grow in product analytics and data science.
1-2 years of experience in a Data Analyst or related role.
Working knowledge of SQL and comfort working in large data sets – exposure to BigQuery and Python/R experience a plus
Analytical rigor, critical thinking, and problem-solving capabilities.
Strong communication skills, with the ability to present complex results clearly.
A passion for mobile games and an interest in using data to enhance player experiences and perform behavior analysis.
Willingness to work collaboratively in a team environment.
Working Knowledge of visualization tools: Looker (Preferred), Qlikview, Tableau or PowerBI.
Understanding of data science concepts and tools.
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 opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!
Scopely is a leading mobile games company home to many top-grossing, award-winning franchises including Scrabble® GO, MARVEL Strike Force, Star Trek™ Fleet Command, Looney Tunes™ World of Mayhem, WWE Champions, The Walking Dead: Road To Survival™, YAHTZEE® With Buddies and Wheel of Fortune®: Free Play, among others. Scopely creates rewarding, immersive games that empower a directed-by-consumer experience. Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform that personalizes gameplay at scale across one of the most diversified portfolios in the west. Recognized in Fast Company’s ‘World’s Most Innovative Companies’ and #2 on Deloitte’s ‘Technology Fast 500’ as one of the fastest-growing companies in North America, Scopely has achieved more than $1 billion in lifetime revenue by creating game experiences that are an important part of people’s lives. Scopely has global operations in Los Angeles, Barcelona, Boulder, Dublin (DIGIT game studio), London and Tokyo, with additional studios in seven countries across four continents. For more information, visit scopely.com.
Scopely is committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, family or parental status, gender identity, veteran, or disability status, or other protected status.
Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://scopely.com/scopely-candidate-privacy-notice/