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Rovio Entertainment Corporation

Lead Data Analyst, Ruby

Izmir Posted 2026-05-29
Type
Full-time
Experience
5+ yr
Source
Lever
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.

Kindly send us your CV in English. 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 
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Diversity, Equity and Inclusion at Rovio

• Mentoring our data team and actively fostering a culture of continuous learning and data-informed problem-solving across the studio. • Collaborating closely with our product managers and marketing team to uncover actionable insights from player behavior, in-game metrics, and monetization data. • Designing, building, and maintaining clear dashboards, reports, and visualizations that present key performance indicators (KPIs) to enable quick, data-driven decisions for various teams. • Using advanced analytics to explore trends, run A/B tests, look at player segmentation, and help influence our game development and user acquisition strategies. • Serving as the key analytical connector, working together with technical teams and business stakeholders to ensure data quality, tracking, and consistency are aligned with our goals. • Not being afraid to jump in to provide technical support and solutions for data issues that may not be covered by Beacon or such that require specialized attention.
• You have extensive amount of professional expertise in data analytics, preferably within the free-to-play mobile games industry or another high-scale digital product environment. • You've proven your ability to turn complex player and business data into clear insights, recommendations, and measurable impact. • You have prior experience coaching, mentoring, or acting as a lead analyst on complex, cross-functional projects. • You're proficient in SQL, allowing you to write efficient queries and prepare large datasets, and you have strong command of Python for processing, analysis, and visualization. • You trust in statistical thinking and have solid experience designing, analyzing, and communicating the results of A/B tests and other experiments. • You excel at communication and storytelling, sharing complex analysis clearly with both technical and non-technical audiences.
• Experience in free-to-play mobile games, specifically with analytics focused on live-ops, game economy, monetization, engagement, retention, or player progression. • Familiarity with forecasting, predictive modeling, segmentation, churn analysis, or player Lifetime Value (LTV) modeling. • Experience with building automated reporting, reusable data models, or analytics pipelines in collaboration with data engineering.
Python
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