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Intern – Data
Company | McKinney |
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Location | Phoenix, AZ, USA |
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Salary | $18 – $18 |
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Type | Internship |
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Degrees | Bachelor’s, Master’s |
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Experience Level | Internship |
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Requirements
- 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.
Responsibilities
- 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.
- 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.
- 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.
Preferred Qualifications
- 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.