Data Analyst

Job description

Description

CrazyGames.com, one of the worldโ€™s largest web games platforms with over 45M monthly users, is looking for a (fully or hybrid) remote Data Analyst in Europe. Youโ€™ll report to the Head of Data and will work closely with various stakeholders. Your mission will be to use data to derive insights and help the company to make data-driven decisions. This will help us to compete with the major gaming platforms in the world.

On a typical day you might:

  • Build Dashboards, Reports, and Alerts to understand user engagement within our platform

  • Improve the data pipeline, clean data, and implement tests for data governance

  • QA our new leaderboard data after implementation to make sure itโ€™s reliable and correct

  • Understand usage of our Reporting Suite by the marketing team and identify areas of improvement

  • Identify new opportunities to automate/simplify tasks of other teams using data

Key outcomes for the role:

  • Within 1 month, you have a good understanding of the Data pipeline and the Product

  • Within 3 months, you have improved the data pipeline by saving 5% on resources

  • Within 6 months, your addition to the reporting suite have contribute considerably to streamline 1 decision flow

  • Within 12 months, you have identified, planned, and executed various improvements on our reporting suite

What we offer:

  • Join the Data and Product team alongside product manager, analysts, and data scientists

  • Work with our elite engineering teams of 15+ experienced engineers

  • A modern tech stack on a massive scale (over 300M gameplays per month, from users across the world)

  • A lot of responsibility and freedom. We hire only experts and trust them to deliver excellent results.

  • Flexible working hours and location. The results are what counts!

  • 1 or 2 team weeks per year. We pay for flights and accommodation so you can have fun with the team.

  • The opportunity to play games and claim it’s work.

Requirements

Reach out if:

  • You have very strong SQL skills.

  • You have a statistical background and/or knowledge in data analysis

  • You know how to gather, process and interpret various data sources to support product decisions (analytics, feedback, trends, user tests)

  • You are process oriented and strive to improve and simplify tasks using data

  • You are intelligent, efficient, and organized. You have an attention to detail.

  • You can spot patterns in data. You can not leave a question unanswered, or come with a half-baked answer.

  • You like open, efficient, and to-the-point communication and you have experience in working remotely.

Please note: glaring use of GenAI technologies to fill in the screening questions will result in immediate disqualification.

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