Data Analyst - DTS Analytics

Job Description

Data Analyst - DTS Analytics (12-Month Term)

Development Technology and Services (DTS) powers EA studios to create even greater player experiences. We help shape the future from the way games are created, to how they are played and viewed.

We are a global team and also the largest studio within EA! DTS proudly consists of the following teams: Engineering Services (ES), Studios Data Insights, and Quality, Verification, and Standards.

Responsibilities:
• Performs data analysis on a business process to provide an objective view on how the business operates.
• Presents the findings from the data analysis to the stakeholders, and provides suggestions for improvement in certain aspects of the business.
• Designs, evaluates, and monitors key metrics that provide continuous feedback on the efficacy of the business.
• Builds live data dashboards complete with user documentation.
• Prepares thorough and detailed reports and presentations that help the team identify key areas of opportunity and insight to drive future design and decision-making.
• Outgoing champion for data quality; creating data quality policy and implementing monitoring to ensure compliance.
• 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.

Qualifications:

Experience
• 2+ years of work experience in a past analytical role, leveraging data to drive process improvements.

Tools
• 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.
• Creates 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.
• Profficently applies statistical analysis solutions using Python or R language.
• Understands the requirements of the of Agile/Waterfall process and adjusts their work as needed.

Education
• University degree in a technical field (e.g. Computer Science, Statistics, Engineering, Mathematics, Operations Research, etc.).

Skills
• Capable of working in a fast-paced environment and can adapt to various.
• Exceptional problem solving, creative thinking, and analytical skills.
• Ability to initiate and maintain close collaborative partnerships with coworkers and stakeholders.
• 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.
• Very good foundation of math and statistical knowledge including an understanding of probability, correlation, regression, classification, and the development of statistical models.
• Skillful communicator who is not afraid to ask questions and brings new insights to light.
• Professionalism in working with clients and working in a larger team environment.
• Can establish sense of urgency and prioritize effectively to manage multiple tasks.
• Able to work independently and drive for solutions with all stakeholders.

Jobcode: Reference SBJ-rve6zm-3-144-202-167-42 in your application.