Hiring: Principal Data Analyst, Enterprise Data Solutions Company: CarGurus Location: Boston, MA Job Posted Time: 2026-09-12 11:11:37 Employment Type: Hybrid Target Skills & Keywords : Jira, MVP, Product Management, Python, SQL, SaaS, Snowflake, dbt About the job Experience: •6+ years of experience in Data Analytics, Data Product Management, Analytics Engineering, or a hybrid role combining data architecture with product ownership. Required Skills: •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. •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: row/column 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. •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, pricing/packaging input, and handoff to GTM. Qualifications: •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, Looker/Omni, 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 •Comprehensive expertise in and experience using analytical concepts and statistical techniques in the following areas: hypothesis testing, building advanced python scripts to automate rigorous statistical analyses, invoking/understanding parametric and nonparametric regression techniques, and more •Operational 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. •Preferred tools/programs: Snowflake, Snowplow, DBT, Python, Looker/LookML, Jira, Google/MS suite, Omni. Compensation: •$148,000 - $185,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!