Support the Angry Birds Friends team by analyzing player and business data. Build SQL queries, use Python to clean and automate analyses, design and interpret A/B tests, monitor KPIs, investigate anomalies, and communicate actionable insights to improve the game and drive growth.
Rovio is part of the SEGA family and world famous for our flagship IP Angry Birds - want to know more about Rovio as an employer? Click here.
Rovio is looking for an enthusiastic Data Analyst Intern to join our Helsinki-based team and support one of Rovio’s most successful live games, Angry Birds Friends—the last true slingshot game from our iconic IP, with strong growth potential ahead. In this role, you’ll help turn player and business data into clear insights and practical recommendations that improve the game experience and drive sustainable growth for a title enjoyed by millions of players worldwide.
We’re looking for someone who is analytical, proactive, and excited to learn by doing. You’re comfortable working hands-on with data, building analyses with SQL and Python, and communicating results in a way that helps teams make better decisions. You’re curious about player behavior, interested in how games and monetization work in practice, and motivated by business outcomes.
This is a paid 6-month internship, with a preferred start in April 2026. Please note that relocation or visa support is not provided for internship roles. The team is located in our HQ in Espoo, Finland and works in a hybrid mode with 2 days onsite at the office.
You will have impact and fun at work by:
- You’ll use analytical knowledge to understand how millions of players interact with the game and share recommendations that make their experience even better.
- Dive into our massive data warehouses and craft clean, optimized SQL queries to gather the specific information we need to move forward.
- Use your Python knowledge to automate, clean data, and build reproducible workflows that help the team access insights quickly.
- Collaborate with product teams to design A/B tests, define success metrics, and interpret the results to help us trust in the next great game feature.
- Keep a caring eye on key performance metrics (KPIs), investigate any fun surprises or anomalies you find, and share your findings with clarity across the team.
Experience and skills we are looking for:
- You’re pursuing (or have recently completed) a degree in a relevant field (like Data Science, Statistics, or Economics) and bring a supportive, business-driven mindset.
- You have a good understanding of Statistics and Econometrics—you know how to apply these concepts to real-world player data.
- You have strong SQL expertise, comfortable using joins, CTEs, and window functions to responsibly handle data.
- Python is a familiar tool for you, especially for data analysis and using libraries like pandas or numpy.
- You communicate insights with clarity and enthusiasm, and you’re comfortable managing your tasks in a supportive, fast-paced environment.
- Excellent English communication skills.
It would be nice if you also have the following:
- You have an awareness of SQL performance optimization.
If you're excited about this opportunity, please submit your application (in English) through our job portal no later than 15 March, 2026. We're reviewing applications as they come in, so don't wait—apply now and take the first step toward joining our team at Rovio! We look forward to speaking to you!
We welcome applicants to use the name they want to be addressed by in the application form, regardless of whether it is their legal name.
At Rovio, we are also committed to providing reasonable accommodations for qualified individuals with disabilities or conditions in our working environment and job application procedures. We are committed to continuously improving workplace accessibility. If you have any questions before applying, please write to us at [email protected].
What to expect when you join us
Meet the Rovians
Hiring process at Rovio
Diversity, Equity and Inclusion at Rovio
Top Skills
Numpy
Pandas
Python
SQL
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