Analytics Engineer Intern

is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with  once and seamlessly login across websites without having to create a new login and verify their identity again. Over 175 million users experience streamlined login and identity verification with  at 22 federal agencies, 50 state government agencies, and more than 100 healthcare organizations.

Over 600 consumer brands use  to verify communities and user segments to honor service and build more authentic relationships. 's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative.  is committed to "No Identity Left Behind" to enable all people to have a secure digital identity.

To learn more, visit (Use the "Apply for this Job" box below)..

is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA;
Mountain View, CA;
New York City, NY; or Tampa, FL. Certain roles - such as field-based sales or other remote-by-design positions - may have different work arrangements as noted in their individual postings.

At , we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here.

is looking for an Analytics Engineer Intern to help us put AI to work across our data organization. You are a curious builder who loves turning data into answers, and you’re ready to use AI to put those answers in the hands of the teams who rely on them every day.

As an intern, you'll build conversational analytics chatbots, automate data pipelines, and create detection agents that help us get more from our data and improve the member experience.

Location:

Mountain View, California- onsite in office five days a week

As an intern, you will own a focused set of AI enablement projects, working alongside analytics engineers, data analysts, and data engineers.

• Conversational analytics chatbots:
  Build chatbots that let teams ask questions of our data in plain language and get trusted answers.
• Data pipeline automation:
  Use AI-assisted tooling to automate and streamline parts of our data pipelines.
• Detection agents:
  Design agents that monitor data and flag anomalies, quality issues, and unusual patterns.
• Data architecture and domain-driven design:
  Explore how AI can improve our data models, documentation, and overall architecture.

• Build and iterate on chatbot prototypes that support conversational analytics on top of Snowflake and dbt models
• Automate data pipeline tasks such as testing, documentation, and monitoring using AI tools
• Develop detection agents that surface data quality problems and anomalies
• Apply domain-driven design principles to help improve data models, metric definitions, and metadata
• Partner with analysts, engineers, and data scientists to understand needs and gather feedback
• Document your work and present results and learnings to the team at the end of the internship

• College junior with an expected graduation year of 2028, currently pursuing a Bachelor's degree in Computer Science, Software Engineering, Data Science, Data Analytics, Statistics, Math, or a related quantitative field. Students with a software engineering background who want to build a career in…