Data Analyst

Cars Commerce

About The Position

At Cars Commerce, we’re fanatical about simplifying everything about car buying and selling. We do right by our customers and consumers to better connect the industry with simplified and tierless technology to enhance, measure and drive local automotive retail. Whether through our No.1 most recognized marketplace, Cars.com, our industry-leading digital experience, Dealer Inspire, our trade and appraisal technology, AccuTrade, our reputation-based digital wholesale auction marketplace, Dealerclub, or our new Cars Commerce Media Network, Cars Commerce is essential for success in the automotive industry. No one ever travels alone here: at its core, Cars Commerce is collaboration. In fact, it’s built into the very fabric of our shared values. We like to say we Rise Together – putting people at the center of what we do, from consumer to customer to community. Life at Cars Commerce makes it easy when we share the ethos to be Open to All, encouraging open-minded communication because we know diverse thinking yields better outcomes. But critical to our success is Caring to Challengeand Taking Ownership, fueling a competitive spirit in a respectful environment where we think about tomorrow but act today. At our foundation, we have integrity, Doing the Right Thing, even when it’s hard. It’s our shared commitment to these values that makes Cars Commerce a place where growth becomes not only possible, but downright unavoidable. But don’t take our word for it. As a U.S. News & World Report Best Company to Work For in 2024, we're obsessive about the employee experience. We are among the top 20% being declared “Best” of our industry based on six critical factors that are important to employee wellbeing, like quality of pay, benefits, work life balance and more. We are seeking a versatile Technical Data Analyst who loves to solve puzzles and bridge the gap between human problems and technical solutions. In this role, you’ll act as the essential "connective tissue" between our Support and Engineering teams, ensuring that our product remains high-quality, our data stays clean, and our developers are working on the right challenges. ABOUT THIS ROLE: Technical Triage & Gatekeeping: Acting as the primary bridge between Support and Engineering. You will analyze L2 tickets and technical issues to ensure they are fully qualified, documented, and reproducible before being moved to the developer backlog. QA & Precision Engineering: Serving as the final checkpoint for developer output. You will perform functional QA to ensure that features not only work technically but align perfectly with the original project scope and business requirements. Root Cause Analysis: Conduct deep-dive data analysis to identify patterns or anomalies in product behavior, translating these findings into actionable technical tasks. Data Translation: Translating complex technical concepts, data structures, or website behaviors into clear, actionable insights for non-technical stakeholders and clients. Bug & Backlog Contribution: Understanding, qualifying, and triaging upcoming bugs. Product Expertise (SME): Remaining the Subject Matter Expert for your respective products and supporting any questions that cannot be readily answered by the Support team. AI & Data Initiatives: Identifying opportunities to work on data analysis projects and AI initiatives to drive product innovation. Training: Providing training materials to the Customer Support Manager to ensure proper team scaling and maintaining the internal knowledge base (wikis, presentations).

Requirements

Education: Bachelor's degree in Computer Science, Business Technology Management (BTM), Information Systems, Statistics, or a related technical field.
Proven Experience: Demonstrated experience as a Product Analyst, Technical Data Analyst, or similar role, with a proven track record of triaging complex technical issues and ensuring product quality through rigorous QA and data validation.
Technical Proficiency: Experience with multiple data formats (CSV, JSON, XML) and an understanding of website structures.
Proficiency in SQL, Python, R, or other programming languages for data manipulation, analysis, and visualization.
Comfortable using Browser Developer Tools to investigate website behavior and data payloads.
Analytical Mindset: Strong analytical and problem-solving skills, with the ability to think critically and strategically about complex issues and perform Root Cause Analysis.
Communication Skills: Excellent verbal and written communication and presentation skills, with the ability to effectively convey technical concepts to non-technical audiences.
Detail-Oriented & Organized: Exceptional attention to detail; able to manage multiple technical investigations, QA cycles, and documentation tasks simultaneously while meeting tight release deadlines.
Collaborative Team Player: A strong cross-functional collaborator with excellent interpersonal skills, responsible for facilitating direct communication and alignment between Support teams, Developers, and non-technical stakeholders at all levels.

Nice To Haves

A Master’s degree or relevant technical certifications are a plus.

Responsibilities

Technical Triage & Gatekeeping: Acting as the primary bridge between Support and Engineering. You will analyze L2 tickets and technical issues to ensure they are fully qualified, documented, and reproducible before being moved to the developer backlog.
QA & Precision Engineering: Serving as the final checkpoint for developer output. You will perform functional QA to ensure that features not only work technically but align perfectly with the original project scope and business requirements.
Root Cause Analysis: Conduct deep-dive data analysis to identify patterns or anomalies in product behavior, translating these findings into actionable technical tasks.
Data Translation: Translating complex technical concepts, data structures, or website behaviors into clear, actionable insights for non-technical stakeholders and clients.
Bug & Backlog Contribution: Understanding, qualifying, and triaging upcoming bugs.
Product Expertise (SME): Remaining the Subject Matter Expert for your respective products and supporting any questions that cannot be readily answered by the Support team.
AI & Data Initiatives: Identifying opportunities to work on data analysis projects and AI initiatives to drive product innovation.
Training: Providing training materials to the Customer Support Manager to ensure proper team scaling and maintaining the internal knowledge base (wikis, presentations).