Associate, Analytics and Insights

About the Role

The Product Analyst will support AI platform product teams by defining, refining, and validating features from idea to release. This role involves translating stakeholder needs into clear product requirements and collaborating with the development team to deliver AI-powered features.

Key Responsibilities

• Partner with the Product Lead to gather stakeholder input and translate it into user stories, acceptance criteria, and backlog items.
• Query and validate product data in Snowflake using SQL to answer feature-usage and data-quality questions.
• Capture requirements and surface open questions during stakeholder conversations and sprint ceremonies.
• Support functional testing of new AI-enabled features, documenting defects and edge cases.
• Maintain product documentation, including feature specs, release notes, and process changes.
• Flag risks, dependencies, or scope questions early and escalate to the Product Lead.
• Assist in preparing training materials and rollout communications for new functionality.

Requirements & Tech Stack

• SQL
• Snowflake (or similar cloud data warehouse)
• Familiarity with agile/product development methodology (sprints, backlog grooming, user stories)
• Ability to travel 10%, on average.

Qualifications

• 2+ years of relevant professional experience in a product, data, or business systems role.
• 1+ years of experience in SQL and experience querying data in Snowflake (or a similar cloud data warehouse).
• Exposure to AI/ML-enabled products, or strong interest in learning how AI products are built and shipped.
• Bachelor's degree in Computer Science, Data Analytics, Business, or related field.
• Ability to work independently and collaborate as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work product.
• Ability to build and sustain professional relationships.
• Ability to lead projects or workstreams.

Preferred Qualifications

• Experience supporting or working alongside a product/ engineering/development team.
• Ability to manage multiple detailed workstreams accurately and meet deadlines.
• Comfort engaging directly with business stakeholders to gather and clarify requirements.
• Familiarity with product analytics or visualization tools (Tableau, Power BI, AWS Quicksight or similar).
• Prior professional services or federal consulting exposure.
• Experience with Python.
• Familiarity with MCPs (Model Context Protocol) and building/creating skills in an AI development context.