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Intern, Data at McKinney. . Location: Phoenix, AZ. Purpose. . Support the execution of innovative media and marketing technology solutions across data, analytics, and engineering functions. This role is ideal for a curious, motivated individual who wants to learn by doing, contribute meaningfully to real projects, and gain exposure to how cutting-edge media and marketing operations run from the inside.. . Responsibilities. . Learn the Business of the Business. . . Gain a foundational understanding of media, marketing, and performance advertising ecosystems.. . Participate in internal meetings to understand how data drives campaign planning, measurement, and optimization.. . Learn how various Attention Arc teams (data, strategy, media, and creative) collaborate to deliver value to clients.. . . Support Data & Tech Initiatives. . . Assist with QA and validation of campaign data pipelines, dashboards, and performance reports.. . Contribute to research projects and competitive audits related to emerging ad tech, data platforms, or AI/ML applications.. . Work alongside analytics and engineering team members to document, test, and improve internal tools and processes.. . . Contribute to Real Work. . . Participate in cross-functional sprint planning, daily standups, and retrospectives.. . Shadow analysts and technologists on key deliverables—such as client reporting, data audits, or platform integrations.. . Support special projects ranging from process automation to API research and tool evaluations.. . . Competencies. . . Curiosity & Learning Agility. : Eager to learn, ask questions, and take on new challenges with minimal fear of failure.. . Analytical Thinking. : Able to break problems down logically and support team members with structured thinking.. . Communication. : Comfortable expressing ideas clearly—verbally and in writing—and asking for help when needed.. . Organization. : Can keep track of multiple small assignments, manage time wisely, and follow through reliably.. . Collaboration. : Works well in a team environment, respects diverse perspectives, and brings a positive attitude.. . . Qualifications. . . Currently pursuing a Bachelor’s or Master’s degree in a relevant field (e.g., Data Science, Computer Science, Marketing Analytics, Information Systems, etc.). . Some experience with one or more of the following is a plus:. . . Data analysis tools (Excel, SQL, Python, or R). . Visualization platforms (Tableau, Looker, Google Data Studio). . Marketing or web analytics platforms (Google Analytics, Meta Ads Manager, etc.). . . Demonstrated interest in advertising/media, technology, or data-driven storytelling.. . . Details. . . Location. : Remote-first or hybrid based on candidate’s location and preferences. Duration. : Summer 2025 (8–10 weeks). . Compensation. : Paid internship, $18/hr.