Principal Data Analyst, Enterprise Data Solutions

Who we are 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 were the largest and fastest-growing automotive marketplace and weve 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 30000 dealerships use our products. But theyre 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 CarGurus is building Enterprise Data Solutions EDS a new customer facing solution that packages data and analytics based on CarGurus core assets. Our objective is to leverage our differentiated marketplace data Search Trends Price Trends Inventory Trends and a growing portfolio of derived signals to develop governed exportable datasets for OEMs lenders insurers investors agencies and consultants. This role spans the full lifecycle of an Enterprise Data asset from creation through productization. You will both build the underlying data assets modeling aggregation quality and shape them into externally consumable products schema delivery documentation SLAs customer feedback. It blends product management discipline with hands-on data analytics ownership ensuring every asset we deliver is credible governed repeatable and customer-ready from day one.This is a 0-to-1 builder role. The successful candidate will translate an inbound demand signal or commercial hypothesis into a production-ready data product defining the schema delivery mechanism documentation SLAs and feedback loop and partner with Strategy Engineering Product Data Science Legal and GTM to bring it to market. What youll do Own the end-to-end definition of EDS data products starting with Search Trends Price Trends and Inventory Trends and extending into the broader EDS portfolio e.g. Market Days Supply Demand Relative to Supply Estimated Retail Sales. Translate inbound customer signals and commercial hypotheses into clearly scoped data products rowcolumn structure granularity historical depth refresh cadence aggregation standards and governance posture. Productionalize a controlled set of exportable datasets that are repeatable governed and exportable in a manner that meets external SLAs and data-quality standards. Lead product-level design sessions to define MVP scope delivery approach Snowflake share SFTP API and required engineering investment. Define and document customer-facing artifacts data dictionaries sample assets schema documentation and use-case framing for each asset. Conceive of new data assets and prototype them via automated transformations primarily using DBT. Partner with Data Engineering teams to optimize integrate and distill raw logs and metadata advancing the companys core data architecture and modeling . Draw upon prior experience with expansive unrefined datasets e.g. user clickstream data to fix modeling bottlenecks in quick scalable outside-of-the-box ways. Partner with Engineering to specify operational stability requirements expected SLAs support coverage monitoring and incident response for assets being consumed externally. In partnership with the broader Data team establish the standards and templates for how a CarGurus data asset becomes a saleable EDS product readiness criteria governance review pricingpackaging input and handoff to GTM. Define and operate the customer feedback loop capturing signals from sales conversations and pilot customers and translating it into asset evolution packaging changes and roadmap inputs. In partnership with the broader Data team build a productization framework that can be extended across the broader monetization portfolio so that learnings standards and shared assets are reused not duplicated. What youll bring 6 years of experience in Data Analytics Data Product Management Analytics Engineering or a hybrid role combining data architecture with product ownership. Demonstrated experience taking a data asset from concept to externally consumable product including schema design documentation governance and delivery via at least one of Snowflake data share SFTP or API. Strong product instincts ability to define scope make tradeoffs set readiness criteria and own a roadmap not just execute against requirements. Deep SQL fluency and working knowledge of modern data stack tooling dbt Snowflake LookerOmni Snowplow or equivalent event infrastructure. Track record of operating in a cross-functional environment partnering with Engineering Strategy Legal and GTM stakeholders and driving alignment across senior leaders. Comfort with ambiguity ability to set direction in a 0-to-1 environment where standards and templates do not yet exist. A natural thought leader with a proven track record of influencing business strategy Experience leveraging Gen AI to optimize workflows create tooling and otherwise enhance your ability to execute Deep understanding of and experience using analytical concepts and statistical techniques in the following areas hypothesis testing building advanced python scripts to automate rigorous statistical analyses invokingunderstanding parametric and nonparametric regression techniques and more Experience engaging directly with end customers or customer-facing teams to gather real-world product feedback translate user needs into analytical requirements and refine data assets based on how they are actually consumed Experience launching or scaling a commercial data product data marketplace listing or external data-sharing relationship is preferred. Familiarity with Snowflake Marketplace data clean rooms and external data delivery patterns is preferred. Exposure to automotive marketplace or B2B SaaS data domains is preferred. Experience defining SLAs monitoring frameworks and operational support models for externally consumed data is preferred. Preferred toolsprograms Snowflake Snowplow DBT Python LookerLookML Jira GoogleMS suite Omni. The displayed range represents the expected annual base salary On-Target Earnings OTE for this position. On-Target Earnings OTE is inclusive of base salary and on-target commission earnings which applies exclusively to sales roles. Individual pay within this range is determined by work location and other factors such as job-related skills experience and relevant education or training. This annual base salary forms part of a comprehensive Total Rewards Package. In addition to benefits this role may qualify for discretionary bonusesincentives and Restricted Stock Units RSUs. Position Pay Range 148000 - 185000 USD Working at CarGurus We reward our Gurus curiosity and passion with best-in-class benefits and compensation including equity for all employees both when they start and as they continue to grow with us. Our career development and corporate giving programs as well as our employee resource groups ERGs and communities help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch a new car discount meditation and fitness apps commuting cost coverage and more help our people create space for what matters most in their personal and professional lives. CarGurus may require in-person interviews as part of our hiring process particularly for positions based in our Boston and Dublin offices. Candidates selected for an in-person interview will be notified in advance. Please be aware that travel expenses are the responsibility of the candidate. We welcome all CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential-starting with our hiring process. We do not discriminate based on race color religion national origin age sex marital status ancestry physical or mental disability veteran status gender identity or sexual orientation. We foster an inclusive environment that values people for their skills experiences and unique perspectives. Thats why we hope youll apply even if you dont check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. LI-Hybrid