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Remote Data Analyst - Entry Level

We entertain millions of people across the globe with the most amazing and immersive interactive software in the industry. But making games is hard. That's why we employ the most creative, passionate people in the industry. The Workplaces team oversees workplace environments and the related employee experience globally and supports and maintains spaces that are vibrant, fresh, branded, and inspiring. The team also provides relevant programs that differentiate us as an employer of choice and support EA's ability to attract and retain the talent needed to power our Company. Workplace Experience is focused on services and programs that directly impact employee effectiveness, provide a healthy physical office environment, create a consistent physical setting and workplace experience globally while reflecting local culture, build community and connectedness among our people, directly help foster our values, and apply best practices in environment design.

Workplace Experience is going through an exciting time as we redefine the future of EA's workforce and implement our new ways of working. As a Data Analyst you will focus on discovering trends, identifying risks and constraints, providing recommendations, being an advisor to the WE senior leadership team. You will apply your modeling skills to develop forecasts and insights to improve existing workplaces to create an amazing employee experience as we evolve our future workplace model. You will wrangle data across multiple data sources, apply the right models, and visualize insights for senior leaders and partners. You'll also learn new systems, tools, and bring industry best practices to analyze big data and enhance our workplace analytics. You will report to the Senior Manager for the Workplace Experience Program Management Office. Key responsibilities include communicating complex analysis and concepts and providing readable dashboards to surface relevant insights with clear narratives to senior leadership and non-technical partners, developing forecasting models to understand EA's future ways of working and the evolution of our workforce, working with program managers and leadership to determine business problems and use statistical analysis, simulations, predictive modeling, or other methods to analyze and develop practical solutions, advocating for the importance of data-driven decision-making and building relationships with partners who rely on people data to ensure understanding on needs, definition of metrics and ways of working, championing for data quality, creating policy and implementing monitoring solutions to ensure compliance, performing research, assembling and integrating data from multiple sources, conducting analyses, designing and implementing analytical solutions, identifying and advocating for technical options related to machine learning, data mining, and other statistical approaches, and maintaining data repositories, interfaces and protocols.

What we're looking for includes a minimum of bachelor's Degree in Data Science, Applied Mathematics, Architecture or Engineering with an emphasis on quantitative methods, 3+ years in a past data analyst role (or similar) that involved thinking of big pictures, suggesting changes to process, identifying risks and potential opportunities for data improvement, communicating with non-technical partners, expert SQL including experience querying complex data sets, data analysis- spreadsheet mastery including VBA, PivotTables, and array functions - or similar tools used for discovering data patterns and correlations through statistical methods, managing and facilitating collaborations with global partners, customer-centric skills - able to engage with business and IT partners to discover requirements for Business Intelligence solutions, storytelling and project management skills - direct experience with data visualization tools such as Power BI or Tableau, understanding of network and data privacy requirements with knowledge of integrity and security tools, experience with Workday, Visier, CCure, and FMI a plus, and experience working with human capital data.