Corporate - Data Analytics Summer Intern

Transforming Age•Seattle, WA

1d•$25•Onsite

About The Position

TA Plus (TA+) is an innovative digital platform designed to empower older adults to live purposeful, connected, and engaged lives. As part of Transforming Age, a nonprofit organization committed to shifting how aging is perceived and experienced, we build technology, community services, and partnerships that create meaningful opportunities for older adults. TA+ helps seniors and their families stay engaged, informed, and supported as they explore living options and care services. We are hiring a Data Analytics Summer Intern to help us turn user data into actionable insights and help improve the quality and effectiveness of AI-generated content within the platform! This role will work closely with our Director of Operations and our developer team to understand user behavior, evaluate AI-driven activities, and strengthen the platform experience. This is a mission driven, high impact internship where your work will directly influence how older adults engage with technology.

Requirements

Currently pursuing a degree in Data Science, Business Analytics, Computer Science, Economics, or a related field.
Strong analytical skills and comfort working in Google Analytics and Google Sheets or Excel.
Curiosity and interest in understanding user behavior and AI performance.
Strong communication skills with the ability to synthesize insights clearly.

Nice To Haves

Familiarity with Google Analytics 4 (GA4), custom events, and basic funnel or cohort analysis.
Experience with any data visualization tools (such as Looker Studio or Tableau).
Familiarity with digital marketing concepts or tools such as Google Ads or Google Ad Manager.
Interest in AI, prompt design, and evaluating AI-generated content.
Interest in aging services, digital health, or social impact technology.

Responsibilities

Analyze user behavior using Google Analytics.
Track KPIs including new user acquisition, DAU, session patterns, and activity interactions.
Identify trends in engagement and retention and recommend data informed improvements.
Evaluate funnel performance and suggest enhancements to onboarding and activity flows.
Evaluate AI-generated activities using a structured quality rubric focused on clarity, relevance, accessibility, and engagement.
Use data and user feedback to identify patterns in AI content quality and improve prompt design.
Run small A/B or structured comparison tests to measure the impact of prompt or content variations.
Provide insights on what drives activity completion, satisfaction, and relevance.
Help design scalable QA workflows for reviewing AI-generated activities and provider listings.
Propose validation rules that strengthen the accuracy and completeness of provider and content data.
Create lightweight dashboards or reports that help the team make informed decisions.
Support the development of a repeatable feedback loop between analytics, AI content generation, and product iteration.