Senior Product Analyst

hace 3 horas


Sevilla, España Scopely A tiempo completo

Scopely is looking for a Senior Product Analyst to join our Monopoly GO team in our Seville (Spain) Hub on a hybrid basis Are you a driven and analytical savvy Data Analyst? Do you enjoy working with large data sets and applying analytics skills to answer business questions? Our Product Analytics team is looking for a Senior Product Analyst to help evolve one of our leading game franchises. As a Senior Product Analyst you will join a team of Analytical Engineers and Data Analysts, working to support your game team. In this role, partnering with our internal data platform and data science teams, you will use data to generate player behavior insights and improve feature performance; from data modeling and event tracking, through to AB-testing, insightful analyses and recommendations that answer the game's most complex and challenging questions. 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.  Monopoly GO is  a key franchise that has become Scopely's largest game, enjoyed by millions of players. The team is based in Canada, Europe and the US, and works every day to create captivating new experiences for our players. What You'll Do  Analyze large, complex data sets representing the behavior of millions of online and mobile game players to address strategic and operational business questions Own the insights to drive the needle moving improvements by working with all organization from engineering to marketing Develop frameworks, models, and tools to ensure data influences decisions at all levels Provide actionable recommendations and conclusions from mobile / game data to shape features, game economies and future product roadmaps Present your findings to cross functional team members in a presentation setting What We're Looking For  Passion for continuous learning in a fast-paced, highly-collaborative environment Excellent English communication skills, written and oral Intellectual curiosity and analytical rigor 3+ years of experience as a Data Analyst or Business Intelligence related role Working knowledge of SQL and comfort working in large data sets – exposure with BigQuery and Python/R experience a plus Working Knowledge of visualization tools: Looker (Preferred), Tableau, PowerBI or similar tools. Strong presentation skills; ability to communicate complex results throughout an organization. A love or strong desire to work with mobile games About Us Scopely is a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences such as "MONOPOLY GO," "Star Trek Fleet Command," "Stumble Guys," "MARVEL Strike Force," and "Yahtzee With Buddies," among others. Scopely creates, publishes, and live-operates immersive games that empower a directed-by-consumer experience across multiple platforms--from mobile, web, PC and beyond. Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform Playgami that supports one of the most diversified portfolios in the games industry. Recognized multiple times as one of Fast Company's "World's Most Innovative Companies," Scopely is a multi-billion-dollar business due to its ability to create long-lasting game experiences that players enjoy for years. Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America, and is home to many internal game development teams, referred to as Scopely Studios, with additional game studio partners across four continents. Scopely was acquired by Savvy Games Group in July 2023 for $4.9 billion, and is now an independent subsidiary of Savvy. For more information on Scopely, visit: Notice to candidates: Scopely, Inc and its affiliates will never request


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