Marketing Data Analyst

4 days ago

Tel Aviv, Tel Aviv, Israel InspHire Full time ₪60,000 - ₪120,000 per year

An innovative and passionate international mobile gaming studio, headquartered in Tel Aviv, is actively searching for a
Marketing Data Analyst
to join its great team.

With a team of talented developers, designers, and industry experts, the company continuously pushes the boundaries of what's possible in gaming and is shaping the future of the industry.

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 frameworks and table schemas for marketing.
  • Build dashboards and monitor important marketing KPIs.

Requirements:

  • 1+ years of hands-on experience in data analysis and SQL.
  • BA/BSc degree in Economics, Statistics, Industrial Engineering, Mathematics, or any other quantitative field.
  • Experience in gaming or marketing companies is a plus.
  • Experience working with mobile measurement partners – strong advantage.
  • Proven ability to translate data into actionable insights using BI tools (e.g., Tableau, QlikView, Looker – Looker is an advantage).
  • Experience working with GCP – advantage.
  • Python skills – advantage.

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