Senior Data Analytics Specialist for Global Gaming Leader

hace 3 semanas


Barcelona, Barcelona, España Sandsoft A tiempo completo

About Sandsoft: As a global video game developer, publisher and investor, we strive to engage and entertain players worldwide. Our vision is to be the leading mobile-first games publisher & developer out of the MENA region. Our international team is composed of passionate and brave game makers with vast experience in developing, publishing and leading highly successful AAA mobile, console and desktop games including FIFA, Candy Crush, Need for Speed, Angry Birds, World of Tanks and more

**Job Overview:** We are looking for an experienced Data Scientist responsible for analyzing and interpreting data to drive insights into player behaviour, marketing campaigns, and market trends.

The ideal candidate will have a strong understanding of game analytics, experience in using data to make strategic decisions, and be able to effectively communicate insights to stakeholders.

We are offering a competitive salary of **€80,000 - €100,000** per year, depending on experience, as well as excellent benefits and opportunities for career growth.

**Responsibilities:** Lead the analysis of marketing campaigns, market trends, and in-game user journey. Review and analyze market test data. Work with stakeholders to define and prioritize data analysis needs. Stay up-to-date on the latest trends in game analytics. Contribute to customer retention and lifetime value (LTV) improvement through data projections. Develop and maintain data analysis reports and insights on our acquisition, engagement and monetization pillars.

**Requirements:** Bachelor's degree in data science, statistics or a related field. Solid experience in data analysis. Strong gaming experience understanding different game categories data, LTV curves shape, and the UA actions effect. Strong understanding of data analysis techniques. Excellent communication and presentation skills. Ability to work independently and as part of a team. Proficiency in data analysis software, such as Tableau, Power BI, or Google Data Studio.



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