AAA Life Insurance Company

Marketing Analytics and Data Science Intern

AAA Life Insurance Company

internship

Posted on:

Location Type: Office

Location: LivoniaMissouriUnited States

Visit company website

Explore more

AI Apply
Apply

Job Level

About the role

  • Support the planning, coordination, and tracking of analytics and data science initiatives within the Marketing organization to ensure alignment with business priorities and timelines.
  • Partner with marketing, product, IT, and other cross-functional teams to gather requirements, document business needs, and support stakeholder communication.
  • Collaborate with data scientists and analysts to translate analytical findings into clear business summaries, presentations, and action plans.
  • Assist in quantifying and tracking project outcomes using defined corporate success metrics; help monitor project delivery efficiency and document performance insights.
  • Prepare executive-ready materials (PowerPoint and written summaries) that clearly communicate analytics-driven insights and recommendations to leadership.
  • Support the development and documentation of best practices for workflow management, reporting automation, and project tracking.
  • Serve as a coordination point between technical teams and business stakeholders to help ensure transparency and alignment.
  • Track key project milestones, risks, and dependencies; escalate issues appropriately and assist with mitigation planning.
  • Assist in managing multiple concurrent initiatives by maintaining organized project documentation, timelines, and status updates.
  • Communicate clearly and concisely with both technical and non-technical audiences.
  • Maintain strong working relationships across teams and contribute positively in a collaborative environment.
  • Balance attention to tactical details while understanding broader marketing and organizational strategy.
  • Demonstrate strong attention to detail in documentation, reporting, and analytics validation.
  • Take initiative in identifying opportunities for process improvement, automation, and innovation within marketing analytics workflows.
  • Support exploratory analyses and experimentation efforts that may drive incremental sales growth, cost efficiencies, or improved customer outcomes.

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Business Analytics, Economics, Finance, Data Science, Computer Science, Statistics, Marketing Analytics, or a related field.
  • Strong academic foundation in data analysis, statistics, or quantitative methods.
  • Familiarity with analytics and data tools such as SQL, Python, R, Excel, Power BI, Tableau, or similar platforms.
  • Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
  • Basic understanding of how analytics supports business decision-making, particularly in marketing, customer acquisition, retention, segmentation, or financial services.
  • Strong analytical and problem-solving skills with the ability to structure ambiguous problems.
  • Proficiency in Microsoft PowerPoint and Excel; ability to create clear, visually compelling presentations.
  • Familiarity with project management or collaboration tools such as Jira, Asana, Microsoft Project, or similar platforms is a plus.
  • Interest in insurance, financial services, digital marketing analytics, or customer journey optimization is preferred.
  • Excellent verbal and written communication skills, with the ability to translate technical concepts into business-friendly language.
  • Demonstrated leadership through academic projects, internships, or extracurricular activities.
  • Self-starter mindset with strong organizational skills and the ability to manage multiple priorities in a fast-paced environment.
  • Understanding of data governance, ethical data use, and privacy considerations is a plus.
Benefits
  • Health insurance
  • Paid time off
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analysisstatisticsquantitative methodsSQLPythonRExcelPower BITableauproject management
Soft Skills
analytical skillsproblem-solving skillscommunication skillsorganizational skillsleadershipcollaborationattention to detailinitiativetime managementadaptability