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© 2017 Beach Bum LTD. All Rights Reserved.


We’re Hiring!


About Beach Bum 

Beach Bum is a social games development company with popular titles found on Facebook and mobile platforms. Led by a team of seasoned industry professionals, our mission is to captivate players from all over the world with a leading line-up of social games.

Beach Bum brings a new twist to classic board and card games, such as Backgammon and Spades, by creating an unforgettable digital experience for millions of players worldwide. With its central placement of player enjoyment at the forefront of its products’ creation, Beach Bum is quickly raising the bar in the world of social gaming.

You're invited to Join Beach Bum, the greatest gaming family that brings a new twist to classic games by introducing them to the world of online casual games.

Job Description

Use the most advanced analytics and data mining techniques in the place where data, product and monetization meet:

  • Be the data and analytical lead on all kinds of projects, while working closely with Product & CRM teams.

  • Extract and analyze large and multi-dimensional datasets in gaming environment using a variety of BI tools.

  • Design, execute, measure and optimize the core business models.

  • Develop and run quantitative analysis, reports and more with the end goal of supporting our monetization efforts.  

  • Identify business gaps and suggest solutions to impact the business KPIs.

Job Requirements

  • Fully proficient in SQL and MS Excel, with high-level analytical and problem-solving skills, and exceptional attention to detail

  • 2 Years’ experience as online data analyst

  • Bachelor of science (B.Sc.), Industrial engineering and management in one of the following universities: Ben Gurion, Tel Aviv or Technion

  • Very strong analytical capabilities

  • Fully proficient in SQL – must

  • Super strong Excel skills - must

  • Experience with Tableau – advantage

  • English at high level

  • Team player, responsible and trustworthy

  • Ability to see the "big picture” and prioritize among many requests