Ibotta

About the Company

Built in Denver, CO, Ibotta ("I bought a...") (NYSE: IBTA) is a performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop - all while paying only when their campaigns directly result in a sale. Guided by our values and our mission to Make Every Purchase Rewarding, we come to work energized by the business problems we get to solve, the technology we build, the innovative people we work (and have fun) with, and the consumers we get to help. To date, we have credited American consumers $1.8 billion. The largest tech IPO to come out of Colorado, Ibotta is headquartered in Denver. Ibotta has been named as a Top Workplace by The Denver Post five times, made BuiltIn Colorado's Best Places to Work list four years in a row and appeared on Inc.'s list of Best Workplaces in 2017 and 2023.

Listed Jobs

Company Name

Ibotta

Job Title

Product Analytics Intern

Job Description

Job title: Product Analytics Intern Role Summary: 12‑week summer internship focused on analyzing and enhancing product performance through data visualization, statistical testing, and cross‑functional collaboration. Expectations: Junior or senior under‑graduate enrolled in a quantitative discipline, residing in the U.S., hybrid work model (3 in‑office days per week). Completes a full‑time internship with a data‑centric mindset and willingness to learn. Key Responsibilities: • Build and maintain Looker dashboards to monitor key product metrics and trends. • Conduct product feature, user flow, and funnel analyses to uncover opportunities and present actionable recommendations. • Assist in designing, running, and evaluating A/B tests, defining success criteria and applying statistical integrity to results. • Partner with Product Managers to size opportunities and inform roadmap decisions based on data insights. • Develop and refine analytics data models using SQL, Python, and Databricks to improve efficiency and support self‑service analytics. Required Skills: • Proficient in SQL for data querying and analysis. • Experience with a data‑analysis programming language (Python or R). • Solid grasp of statistical concepts, including hypothesis testing and A/B testing. • Familiarity with modern data stack tools (Databricks, Spark, Airflow, Looker). • Strong written and verbal communication; ability to present findings clearly. • Creative problem‑solving and ability to drive projects from concept to completion. Required Education & Certifications: • Junior or senior pursuing a bachelor’s degree in Analytics, Statistics, Economics, Computer Science, Mathematics, or a related quantitative field. • No specific certifications required.

Denver, United states

Hybrid

Fresher

23-02-2026