Addepar Product Analyst Intern at Addepar working on the Navigator Product team to maintain and optimize product analytics. Collaborate with Product Managers, Designers, and Engineers to shape feature roadmaps and define success metrics.
Responsibilities
This role is based full-time in our New York office and requires in-person attendance for the duration of the internship. Dates are currently set for June - August 2027 but please advise your recruiter if you have any timing constraints. Relocation assistance is not offered. Please let us know if you need any adjustments to take part in the application process or the internship.
Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The program rate for this internship is $31.00 per hour.
Maintain, update, and optimize product analytics capabilities for Navigator
Uncover usage patterns and engagement trends to directly inform product feature decisions
Help define, establish, monitor, and report on key product performance indicators (KPIs) for the Navigator product line
Collaborate closely with Product Managers and Designers to surface actionable, data-driven insights
Use AI-enabled tools to improve efficiency in analysis and documentation
Present analytical findings and strategic recommendations directly to the product team
Collaborate with stakeholders across teams while continuously expanding your technical, product, and business domain expertise
Produce a retrospective and present your summer project to an internal audience
Qualification
Strong proficiency in SQL and Python
Required
Currently enrolled in a university or other post-secondary program
Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field (penultimate or final year ideal, though all years are welcome to apply)
Able to commit to the full 12-week program, June 7th, 2027 - August 27th, 2027
Strong quantitative skills with a habit of asking "why" when looking at user behavior and metric trends
Strong proficiency in SQL and Python
Enthusiasm for adopting AI-assisted workflows (e.g., ChatGPT, Claude, AI data assistants) to speed up analysis, write documentation, and solve problems
Ability to translate numbers into a clear story and explain analytical findings to both technical and non-technical teammates
Self-starter attitude with a strong drive to learn product strategy, technical architecture, and business metrics
Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
