Senior Marketing Analyst
1 day ago
Play Perfect is a fast-growing mobile gaming company that provides entertainment to millions of users around the world. The company is headquartered in Tel Aviv. With a team of talented and passionate developers, designers, industry experts and gamers, Play Perfect is at the forefront of creating immersive gaming experiences that engage players on a whole new level. As we continue to push the boundaries of what is possible in gaming, Play Perfect is poised to shape the future of the industry and redefine what it means to be a skill-based gaming company.
As we expand, we're looking for a Marketing Data Analyst to join our great team.
As a Marketing Data Analyst, you will lead the analytics of the company's marketing department. You will work closely with cross-functional teams to drive data-driven decisions, uncover insights, and improve marketing performance at scale. You will be using advanced statistical analysis techniques and dashboarding tools. You will help us make smart, data-driven decisions, and support the company's growth.
Responsibilities:
- Define, track, and analyze key success metrics to measure the impact of marketing activities and optimize performance.
- Design and implement advanced BI reports and features to generate actionable insights (e.g., LTV, ROI forecasting, automation).
- Conduct deep-dive analyses on marketing trends, user acquisition, and engagement to uncover growth opportunities.
- Collaborate with the game analytics team and studios to refine player experience and maximize retention.
- Present data-driven findings and strategic recommendations to senior leadership, influencing key business decisions.
- Design, execute, and analyze A/B tests to support data-driven decision-making and recommend accordingly
- Define analytics and table schemes for marketing.
- Build dashboards and monitor important marketing KPIs.
- 3+ years of experience in data analysis in gaming (or a similar data-driven environment).
- 3+ years of experience in SQL (DBT- advantage).
- BA/BSC degree in Economics, statistics, industrial engineering, mathematics, or any other quantitative field.
- Experience working with mobile measurement partners (Appsflyer - strong advantage).
- Proven ability to translate data into actionable insights using BI tools (e.g. Tableau, QlikView, Looker, etc. Looker- advantage).
- Experience working with GCP - advantage
- Scripting capabilities with Python - advantage
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