McKinney

Compensation

Full Description

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 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