Job description

SciPlay is a leading developer and publisher of digital games on mobile and web platforms, providing highly entertaining free-to-play games that millions of people play every day for their authenticity, engagement and fun. SciPlay currently offers nine core games, including social casino games Jackpot Party Casino, Gold Fish Casino Slots, Hot Shot Casino and Quick Hit Slots, and casual games MONOPOLY Slots, Bingo Showdown, 88 Fortunes Slots, Backgammon Live and Solitaire Pet Adventure with offices all over the world! Position Summary We are looking for a Marketing Analyst to join our Marketing Analytics team and help shape data-driven decisions that fuel our growth. In this role, you will analyze large-scale data, uncover trends, and provide strategic insights to optimize user acquisition efforts and marketing performance across our games. Your work will directly influence decisions around marketing strategy, budget allocation, and game optimization. Key Responsibilities: Analyze and monitor UA performance to support budget allocation and campaign optimization Deliver insights on game profitability, player behavior, and feature impact Design and execute A/B tests, statistical analysis, and data exploration Build and maintain BI dashboards and reports (e.g., LTV, ROI projections, user funnel metrics) Translate business questions into structured analysis with clear metrics and success criteria Serve as an analytical focal point for the marketing team, proactively identifying gaps, trends, or opportunities Collaborate with user acquisition managers, creative teams, game studios, and other stakeholders to align data with business goals Requirements: At least 4 years of experience as an analyst in data-driven organizations – must. BA in Industrial Engineering, Economics, Statistics, or a similar quantitative field. Experience in big data environments, preferably in the gaming, media, internet, or telecom industries. Good understanding of online marketing metrics and user acquisition KPIs (such as LTV, ROI, CPI, retention). Hands-on experience in SQL and Excel – mandatory. Experience in data mining, A/B testing, analysis, and problem-solving. Experience working with BI tools (such as Tableau, Looker, Power BI). Strong analytical skills and ability to work independently. Passion for the gaming industry. Curiosity, eagerness to learn, and willingness to make mistakes and grow from them.