Associate Business Systems Analyst

About the role

At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we're the largest and fastest-growing automotive marketplace, and we've been profitable for over 15 years. What we do The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and ~30,000 dealerships use our products. But they're not the only ones who love CarGurus-our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride! Role overview As a core member of the Data Systems Analysis team, the Associate Business Systems Analyst will support the design, implementation, and ongoing improvement of our data and analytics systems. This role acts as a bridge between business stakeholders and the technical capabilities of our modern data stack, with a growing focus on how we can responsibly apply AI to improve our work. The ideal candidate is eager to learn and explore the new technology in the industry and comfortable working under the guidance of senior analysts and managers to translate business needs into clear, actionable requirements. You will collaborate closely with cross-functional partners across Data, Engineering, and Business teams to document processes, support solution design, and help ensure our systems effectively enable day-to-day operations and strategic decision making.

Responsibilities

• Documentation: Help document current-state and future-state business processes, identifying gaps and pain points. Maintain and update document templates, runbooks, and training materials so that documentation stays current as systems and processes evolve.
• System & data analysis: Assist in analyzing data and system behavior to understand how existing solutions support business processes. Help identify opportunities for process or system improvements, documenting findings and recommendations for review by senior team members.
• Implementation support: Collaborating with engineers, data teams, and product partners to deliver changes that meet documented requirements. Assist with coordination between business stakeholders and technical teams to clarify questions and resolve minor issues.
• User Acceptance Testing: Help define and document UAT scenarios and test cases based on requirements and business workflows. Coordinate with business stakeholders to schedule UAT, track feedback, and record defects and retest results.
• Continuous improvement: Support process and documentation clean-up efforts, including template standardization, version control, and knowledge management. Stay up to date on industry concepts and best practices in business analysis and data/analytics and bring relevant ideas back to the team.

Requirements

• 1+ year of experience as a Business Analyst, Business Systems Analyst, Data Analyst, or similar role, or relevant internship/project experience.
• A self-starter mindset with strong curiosity and willingness to learn from feedback and mentorship.
• Analytical problem-solving skills and comfort breaking larger problems into smaller, structured questions.
• Ability to navigate ambiguity by asking clarifying questions, documenting assumptions, and escalating risks appropriately.
• Strong written and verbal communication skills, including:
• A collaborative working style, with the ability to partner across business, data, and engineering teams and incorporate input from multiple stakeholders.
• Experience or exposure to tools like Snowflake, dbt, and BI platforms
• Experience using related AI tools such as Cursor, Claude, Glean.
• Strong SQL skills.

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