AAA Life Insurance Company→
Marketing Analytics and Data Science Program… at AAA Life… · Livonia
InternshipHybridFull-timeLivonia, MI
Skills
data analysissqlpythonrpower bitableauproject management
Job Description
Summary: AAA Life Insurance Company is a respected and trusted American brand focusing on Life Insurance and Annuity Products since 1969. The Marketing Analytics & Data Science Program Management Intern will support high-impact analytics initiatives that drive customer acquisition, retention, and revenue growth, while gaining experience in project management and analytics-driven decision-making.
Responsibilities:
- 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
Required Qualifications:
- 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
Preferred Qualifications:
- 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
Required Skills: Data analysis, SQL, Python
Important Skills: R, Power BI, Tableau, Project management