Data Analyst Intern (f/m/d)
Job Summary
Job Description
8 skills required
Job Details
At Sunday, we fuel hybrid-casual games by developing and marketing fun, easy-to-play mobile games that consistently top the charts and generate hundreds of millions of downloads globally.
Our talented team of developers, artists, designers, and marketers work together to build games that are easy to jump into but hard to put down, striking the perfect balance between enjoyment and monetization.
As proud members of the applike group, our primary focus is on leveraging their cutting-edge advertising technology to deliver smart, player-friendly monetization and contribute to a thriving mobile ecosystem. Supported by Bertelsmann, Europe's largest media company, we are equipped with the resources to push the boundaries of the mobile gaming space.
Join us as we continue to shape the future of hybrid-casual gaming.
This opportunity is a 6 months internship with the possibility to get an unlimited employment contract afterwards.
What you will do:
- You will be part of our data science team and will support the team with various tasks
- You will assist in analyzing A/B tests for game features, monetization strategies and user experience improvements and developing our A/B testing platform
- You will investigate user behavior and product performance by analyzing data and provide actionable insights
- You will document your findings and communicate them to the team
- You will build and maintain dashboards using tools like Superset, Streamlit
- You will handle and process data analysis requests from diverse business units
Who you are:
- You recently finished your studies in Data Science, Computer Science, Mathematics or similar and are now looking to kick-start your career
- You know how to perform statistical analyses, particularly hypothesis testing to evaluate A/B tests
- You gained first experience in Python and SQL and want to further enhance your skill set
- You have strong communication skills and know how to bring across important information
- You like collaborating with a team and working in an international environment
- You have a strong attention to detail to ensure quality and accuracy of our data
- You are interested in gaining experience in the tech stack the team is using: Airflow, Athena, PostgreSQL, Reddis, Streamlit, Git, Datalore, Docker
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