Senior Data Analyst i Stockholm

We Are DICE

DICE (EA Digital Illusions Creative Entertainment), the award-winning developer based in Stockholm, Sweden, is best known for creating the phenomenally successful Battlefield franchise with the widely acclaimed Battlefield 1 being the latest instalment.

As a Senior Data Analyst on the EA Studios Europe Quality Analytics team, you will play a key role in analyzing our project and player data to improve our Quality Verification (QV) strategies. You should be a sharp, curious, and analytical individual who has a real passion for diving into data to solve business problems. Your insights will influence how we build and verify the quality of our games

• Evaluates and interprets data to extrapolate risks and opportunities
• Prepares thorough and detailed reports that help the team identify key areas of insights and opportunities to drive future decision-making
• Outgoing champion for data quality; crafting data quality policies and data governance
• Drives methodologies in tools and visual technologies for building live project data dashboards that provide key data for project monitoring and decision-making
• Develops and maintains scripts and queries to import, clean, transform, and augment data
• Designs and develops statistical analysis models for hypothesis testing, prediction, or inference

• 5+ years of work experience in a past analytical role, demonstrating their expertise with data to drive process improvements
• Understands well how data is stored in databases and can write fast and reusable SQL code to retrieve it
• Queries large amounts of semi-structured big data using Hive QL in an efficient way
• Crafts performant and intuitive data models that can be further used for visualization by the team
• Visualizes high readability data insights using software tools like Power BI, Tableau, or Excel
• Writes efficient Python or R code to answer data analysis questions with a high degree of confidence
• Proficiently applies advanced statistical analysis solutions using machine learning
• Understands the requirements of the of Agile/Waterfall process and adjusts their work as needed

• Bachelor’s degree in a technical field (e.g. Computer Science, Statistics, Engineering, Mathematics, Economics etc.) and/or successful completion of post-secondary level Math and Statistics courses

• Excellent foundation of math and statistical knowledge including an understanding of probability, correlation, regression, classification, and the development of statistical models
• Extraordinary problem solving, creative thinking, and analytical skills.
• Ability to initiate and maintain close collaborative partnerships with coworkers and development partners
• Ability to take ownership of projects and look for new problems to solve and new concepts to implement
• Quick learner with an innate desire to continually learn, adapt and develop abilities
• Skillful communicator who is not afraid to ask questions and brings new insights to light
• Teamwork in working with clients and working in a larger team environment
• Can establish a sense of urgency and prioritize effectively to manage multiple task

EA is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law. EA has taken efforts to ensure that our on-line application system is accessible to individuals with disabilities and disabled veterans. Applicants with disabilities may contact us by sending an email to accessibility@ea.com for assistance accessing our careers.ea.com website. In your email, please including your name and preferred method of contact, and EA will respond as soon as possible.

Next Steps

Apply online with a resume and motivation letter. As part of the application process, we might ask you to perform a practical work test. We look forward to receiving your application!