• Centrally manage and engineer Python and R open-source clients and packages • Develop and maintain Analytics Service automated service and operational improvements • Collaborate with EPEO Engineering and Operations teams supporting Analytics offerings, data analytics teams and various suppliers to ensure that current data and analytic infrastructure needs are met. • Engineer, scan, and test Python and R open-source client tools and packages for the Gold Repository • Utilize Python, Docker and Infrastructure as Code (such as Terraform) to design, automate, and manage scalable infrastructure. • Design and develop AI agents to automate vulnerability scanning, open-source license compliance, and evaluation of emerging AI tools for engineering and data science. • Design and develop AI agents to automate fault detection, advisory management, and incident response time across the analytics portfolio. • Ensure secure and reliable cloud operations while leveraging Cloud Monitoring and Logging to optimize performance, manage costs, and resolve incidents. • Work with Analytics Service teams to bring successful Proof of Concepts into production.

Title: Director of Analytics Location: Orlando United States Job Description: Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. The Data & Insights (D&I) team harnesses the power of data to deliver transformative insights and solutions to EA game teams and players. D&I teams are involved in every aspect of data, driving strategy and governance; building powerful data and AI applications; and developing personalization, experimentation, and analytics tools. When you join D&I, you're joining a team of passionate experts working to enable deeper understanding, better ways of working, and more meaningful experiences for our players. As the Director of Analytics for American Football, you will shape and drive analytics strategy and execution for one of EA's most iconic sports franchises. You will lead and coach an analytics team, raising the bar on insight quality and decision impact, experimentation rigor, and operational excellence. You will work with partners in product management, game development, finance, and marketing to inform decisions that shape the player experience and drive business performance. You will report to the VP of Data and Insights for EA SPORTS and be a key partner to franchise leadership. Location: This role is hybrid three days a week onsite the Orlando studio. What You'll Do - Coach and develop a team of analysts/data scientists; set clear expectations, provide feedback, and improve upon analytical rigor - Own the roadmap and prioritization for franchise analytics and experimentation, align stakeholders and manage tradeoffs - Establish and maintain analytics and experiment standards (metrics, design, readouts, documentation) to improve quality and speed - Lead analytics vision and team delivery for growth initiatives supporting player experience, product development, and business goals - Serve as a trusted thought partner to senior leaders across Product and Game Development, bringing data-driven insight to critical decisions - Guide team analyses, leveraging SQL, experimentation, and statistical methods to inform live service decisions - Lead and sponsor personalization and machine learning initiatives and ensure they include measurement plans and A/B testing strategies - Evaluate and champion practical applications of generative AI and automation tools to increase productivity and elevate insight generation - Build strong connections between analytics and central data teams, ensuring best practices and tools are leveraged for impact What You'll Bring - 10+ years of experience in analytics, data science, or a related field - 4+ years of experience leading and developing analytics teams, including coaching, feedback, and delivery accountability - Experience working on live service games or similar digital products - Ability to build relationships and influence senior partners using data - Strong communication skills, including presenting analysis to non-technical teams - Proficiency in SQL and experience with Python or R for statistical analysis to review and guide analytical work - Experience designing and analyzing A/B tests or other experiments - Familiarity with using GenAI tools to support analytics tasks - Interest in games and using data to improve player experiences About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts 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. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Data Ideology At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals who are passionate about learning, understanding, collaborating, and who are intellectually curious. For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer - (Snowflake) Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client-facing, consultative role that blends solution design with hands-on delivery. You will work directly with clients and our internal teams to design, implement, and optimize modern data platforms in Snowflake. This role is ideal for experienced data engineers who want to expand their impact by engaging with clients early in the process to understand requirements, shape solutions, and then lead the delivery of high-quality implementations. While you will occasionally support the scoping of new projects, this is not a sales role — your primary focus will be on technical execution, solution architecture, and delivery leadership. Responsibilities To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs. - Design and build scalable, secure, and cost-effective data solutions in Snowflake. - Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services. - Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans. - Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs). - Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management. - Lead modernization and migration initiatives to move clients from legacy systems into Snowflake. - Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks. - Contribute to internal accelerators, frameworks, and proofs of concept. - Mentor junior engineers and support knowledge sharing across the team. Supervisory Responsibilities: None Qualifications: Education and Experience: - 7+ years of experience in data engineering, data warehousing, or data architecture. - 3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.). - Strong SQL and Python skills, with production experience using dbt. - Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.). - Prior experience in a consulting or client-facing delivery role. - Excellent communication skills, with the ability to collaborate across technical and business stakeholders. - Preferred - SnowPro Certification Work Environment: - Remote work from home. - Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs. Physical Demands: - Must be able to remain in a stationary position 50% of the time. - The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc. - Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer. - The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations. Benefits: - Flexible Time Off Policy - Eligibility for Health Benefits - Retirement Plan - Training and Certification Reimbursement - Utilization Based Incentive Program - Commission Incentive Program - Referral Bonuses - Work from Home Data Ideology is an EEO Employer

• Lead a team of data engineers, developers, and analysts in the design, development, and maintenance of the DataMart (Gold Layer) for business and operational support • Lead the design, development, and execution of the membership eligibility and lead generation process for populations attributed to Monogram through Value-Based Care contracts • Design and operationalize performance monitoring tools and capabilities for dashboards (internal and client-facing), internal management reporting and board reporting • Partner with our Implementations and Client Partnership teams on achieving successful client implementations • Partner with departments such as IT and Finance in ensuring appropriate data structure and reporting • Create an environment conducive to growth by creating scalable and flexible solutions to data challenges