About Sandsoft: Headquartered in Riyadh, Saudi Arabia, Sandsoft is a global video game developer, publisher and investor with a focus on engaging and entertaining 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!
Through a passion for games, Sandsoft Games aims at bringing closer continents, cultures, and people.
About the role: Sandsoft is 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. If you have the ability to deep dive into the data through SQL and advanced analytics tools as well as explain outcomes and insights efficiently, there is a fantastic journey for you in Sandsoft.
In this role, you will be responsible for more than just traditional data analysis. You will also lead segmentation analysis and machine learning processes for retention and lifetime value (LTV) projections. This is a great opportunity for someone who is looking to expand their skills and take on more responsibility.
Location: Barcelona
What you will do: Lead the analysis of marketing campaigns, market trends, and in-game user journeyReview and analyze market test dataWork with stakeholders to define and prioritize data analysis needsStay up-to-date on the latest trends in game analyticsContribute on customer retention and lifetime value (LTV) improvement through data projectionsDevelop and maintain data analysis reports and insights on our acquisition, engagement and monetization pillarsWhat you need to be successful in the role: Bachelor's degree in data science, statistics or a related fieldSolid experience in data analysisStrong gaming experience understanding different game categories data, LTV curves shape, and the UA actions effectStrong understanding of data analysis techniquesExcellent communication and presentation skillsAbility to work independently and as part of a teamProficiency in data analysis software, such as Tableau, Power BI, or Google Data StudioFor this type of role, strong gaming experience is a must. Selected candidate needs to fully understand the business side of gaming: how different game categories perform, how their LTV curves should look like, how to get the relevant data from the MMP dashboards, how UA affects the results, etc.
If you feel like you would like to be part of this journey, please apply!
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