Marketing Analytics Intern (Summer)

SupportFinity™; Washington (Washington County); Hybrid; USD 24,796 - 38,572; Part time

Job summary

AARP is seeking a Marketing Analytics Intern to support the development of a data-driven forecasting model that informs channel planning and decision-making across membership channels. The role blends hands-on modeling with strategic thinking and cross-functional collaboration, offering exposure to advanced analytics and business impact.

The internship is paid for Summer 2026, with hybrid work options and remote days Monday and Friday within the United States.

Qualifications

• Foundational knowledge of statistics and forecasting concepts.
• Proficiency with Excel and at least one programming language (Python or R).
• Experience with structured datasets, data validation, and basic visualization.

Responsibilities

• Analyze historical order, customer, and channel data to identify trends and drivers.
• Develop and evaluate channel-level forecasting models.
• Validate forecasts with back-testing and performance measurement.
• Translate forecast outputs into actionable channel strategy.
• Document forecasting methodology and findings for reuse and transfer.

Skills

Statistical analysis

Forecasting concepts

Data modeling

Excel

Python or R

Education

Currently enrolled student

Tools

SQL

BI tools

Analytics platforms

Job description

Overview

AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age. With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families health and financial security, and personal fulfillment. AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high‑quality products and services to carry the AARP name. As a trusted source for news and information, AARP produces the nation's largest‑circulation publications, AARP The Magazine and the AARP Bulletin. Data & Analytics leverages business intelligence gained through advanced data analytics to maximize AARP's marketing and communications results. This includes using data science, data engineering, predictive modeling, and market analytics to guide data‑driven decision making. The Marketing Analytics Intern will support the development of a data‑driven forecasting model to improve planning and decision‑making across select membership channels. This role applies analytical and forecasting techniques to real‑world marketing data and translates insights into actionable channel strategy. The position is unique in its combination of hands‑on modeling, strategic thinking, and cross‑functional collaboration, offering exposure to both advanced analytics and business impact. This paid internship is for Summer 2026.

Responsibilities

• Analyze historical order, customer, and channel performance data to identify trends, seasonality, and key demand drivers
• Develop and evaluate channel‑level order forecasting models using appropriate analytical techniques
• Validate and refine forecasts through back‑testing and performance measurement
• Translate forecast outputs into actionable insights to support channel planning and strategy
• Document forecasting methodology, assumptions, and findings for reuse and knowledge transfer
• Present results and strategic recommendations to marketing and analytics stakeholders at the conclusion of the internship

Qualifications

Required Education

• Currently enrolled in a degree program at an accredited college or university and classified as a rising undergraduate junior or senior, graduate student, or post‑doctoral student at the time of application

Preferred Fields Of Study

• Marketing Analytics, Data Science, Statistics, Economics, Business Analytics, Computer Science, or a related quantitative discipline

Required Knowledge & Technical Proficiencies

• Foundational knowledge of statistical analysis, forecasting concepts, and data modeling techniques
• Proficiency with data analysis tools such as Excel and at least one programming language (e.g., Python or R)
• Experience working with structured datasets and performing data validation, exploratory analysis, and basic visualization
• Familiarity with performance metrics and model evaluation concepts (e.g., forecast accuracy, error measurement)

Preferred Skills (Supplemental)

• Exposure to time‑series forecasting, demand modeling, or marketing analytics use cases
• Experience using SQL, business intelligence tools, or analytics platforms
• Coursework or project experience applying analytical methods to real‑world business problems

Core Competencies for Success

• Strong analytical and problem‑solving skills with attention to detail
• Ability to translate analytical findings into clear, actionable insights for non‑technical audiences
• Effective written and verbal communication skills
• Ability to manage multiple tasks, meet deadlines, and work independently in a fast‑paced environment
• Collaborative mindset and willingness to incorporate feedback from cross‑functional partners

AARP will not sponsor an employment visa for this position at this time.

Additional Requirements

• Regular and reliable job attendance
• Exhibit respect and understanding of others to maintain professional relationships
• In office/open office environment with the ability to work effectively surrounded by moderate noise

Hybrid Work Environment

AARP observes Mondays and Fridays as remote workdays, except for essential functions. Remote work can only be done within the United States and its territories.

Compensation And Benefits

The hourly range is $18 for undergraduates, $21 for graduate students, and $28 for Ph.D. candidates. Internships are non‑exempt positions and are not eligible for employee benefits.

Equal Employment Opportunity

AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status or on any other basis prohibited by applicable law.