As an Analytics Intern at EA Sports, you'll analyze player behavior in EA Sports games to identify areas for improvement.  You'll work with large datasets, using SQL, spreadsheet programs (Excel, Google Sheets), and tools like Python or R for analysis.  Responsibilities include exploring player patterns, answering business questions from stakeholders through dashboards and presentations, investigating trends across the EA Sports portfolio, and presenting findings clearly.  The internship is a 16-week program with a focus on understanding player engagement and improving the player experience.  Successful candidates will have strong analytical skills, experience with data visualization, and knowledge of statistics.

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                                                                                            We are a global team of creators, storytellers, technologists, experience originators, innovators and so much more. We believe amazing games and experiences start with teams as diverse as the players and communities we serve. At Electronic Arts, the only limit is your imagination.
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                                                                                            <p dir="ltr" style="line-height:1.6749999999999998;margin-top:13pt;margin-bottom:21pt;" id="isPasted"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Electronic Arts is looking for students to join our world-class internship experience. Summer 2025 will be better than ever as we bring all interns together on-site for orientation week and prep students for the future ways of work by offering remote and hybrid opportunities depending on your location. For more information about our Next-Gen Program, visit</span></p><p dir="ltr" style="line-height:1.3800000000000001;margin-top:12pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">What you'll do on our team:</span></p><p dir="ltr" style="line-height:1.3800000000000001;margin-top:0pt;margin-bottom:12pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">As a Data Analyst working on the EA Sports Data and Analytics team and reporting to a Director of Analytics, your main focus will be understanding how players engage with EA Sports titles by analyzing their behaviour in-game. You'll not only be interested in exploring and modeling with data but also curious about how our business operates, and the macro environment for EA Sports.</span></p><p dir="ltr" style="line-height:1.3800000000000001;margin-top:12pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">How you’ll contribute on our team:</span></p><ul style="margin-top:0;margin-bottom:0;padding-inline-start:48px;"><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Explore player behavior patterns in our data to identify opportunities to improve the player experience.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Receive business questions from stakeholders, determine the best ways that our data can help answer them, and provide those insights through dashboards, reports, or presentations.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Present analyses and findings to our partners in a clear and understandable way.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Investigate trends across our EA Sports portfolio, looking for insights and patterns that impact more than one title.</span></p></li></ul><p dir="ltr" style="line-height:1.3800000000000001;margin-top:12pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">What we’re looking for:</span></p><ul style="margin-top:0;margin-bottom:0;padding-inline-start:48px;"><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Enrolled in a bachelor’s degree granting program in Mathematics, Statistics, Business, Data Science, Computer Science, Analytics, or a related field.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">SQL querying skills</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Proficient at analyzing datasets in a spreadsheet program (e.g. Excel, Google Sheets) or in a programmatic analysis tool (e.g. Python, R)</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Experience with data visualization applications (e.g. Tableau, Power BI, Looker)</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Knowledge of statistics (e.g. statistical significance, regression, clustering, predictive modeling)</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Work experience in an analytics role using data to help guide decisions</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Experience in a consumer products-oriented industry (e.g. gaming, entertainment, e-commerce)</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Experience in machine learning or statistical modeling</span></p></li></ul><p><br></p><p dir="ltr" style="line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"><span style="font-size:10pt;font-family:Montserrat,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;" id="isPasted">We are only considering students who will be enrolled in an accredited degree program in the summer of 2025, slated to graduate no earlier than December 2025. Applicants must be legally authorized to work in Canada on a full-time basis during the 16-week internship. Visa sponsorship is not available for this position.</span><br></span></p><p><br></p>
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                                                                                            <p>COMPENSATION AND BENEFITS The base salary ranges listed below are for the defined geographic market pay zones in these states. If you reside outside of these locations, a recruiter will advise on the base salary range and benefits for your specific location. EA has listed the hourly pay ranges it in good faith expects to pay applicants for this role in the locations listed, as of the time of this posting. Salary offered will be determined based on numerous relevant business and candidate factors including, for example, degree type (e.g. Bachelor’s, Master’s, PhD), what stage you are in your degree journey (i.e. freshman, sophomore, etc.), qualifications, certifications, experience, skills, geographic location, and business or organizational needs. PAY RANGES</p>
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                                                                                            <ul><li>British Columbia (depending on location e.g. Vancouver vs. Victoria)<ul><li>$60,000 - $65,000 CAD</li></ul></li></ul>
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                                                                                            <p>The hourly pay is just one part of the overall compensation at EA. We also offer a package of benefits including 80 hours per year of sick time (prorated based on scheduled hours per week if less than full-time), 16 paid company holidays per year, medical insurance, and 401(k). Interns in California are also eligible for Voluntary Disability Insurance.</p>
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                                                                                            <div><div><strong><em><font face="times new roman"><br></font></em></strong></div><div><strong><em><font face="times new roman"><br></font></em></strong></div><div><strong><em><font face="times new roman"><br></font></em></strong></div><div><strong><em><font face="times new roman"><br></font></em></strong></div><div><strong><em><font face="times new roman"><br></font></em></strong></div><div><strong><em><font face="times new roman">About Electronic Arts</font></em></strong></div></div><div><br></div><div><div><font face="times new roman">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.</font></div><div><font face="times new roman"><br></font></div><div><font face="times new roman">We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support a balanced life with paid time off and new parent leave, plus free games and so much more. We nurture environments where our teams can always bring their best to what they do.</font></div><div><font face="times new roman"><br></font></div><div><font face="times new roman">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.</font></div></div>
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Analytics Intern