Analytics Engineer IV, ACV Capital

Posted Thursday, June 4, 2026 at 4:00 AM If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. Who we are: ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services. At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer: Company Sponsored (paid) Healthcare, Dental, Vision, Life/AD&D, Short-Term and Long-Term Disability. Comprehensive additional optional benefits such Critical Illness and Supplemental Life/AD&D. All insurance benefits go into effect on your date of hire. Generous Parental Leave Top-Up Pay and Vacation Programs. Employee Stock Purchase Program with additional opportunities to earn stock in the company. Retirement planning through the Company’s RRSP. Who are we looking for: The Senior Analytics Engineer on the ACV Capital team is an expert practitioner who transforms raw data into trusted, decision-ready models and reports that drive the lending business forward. Sitting at the intersection of data engineering and business intelligence, this role owns the full analytics stack - from dbt model design and data quality to Omni BI dashboards - and partners directly with Capital leadership to surface insights on lead targeting, loan origination, account management, dealer servicing, and operational compliance. A key objective of this role is reducing ad-hoc analytical bottlenecks over time. You will be expected to answer urgent business questions quickly and directly, while systematically building the underlying dbt models, metric definitions, and BI layer in a way that enables self-serve analytics - including AI-assisted querying - so that Capital stakeholders can answer common questions themselves. What you will do (Responsibilities) : Analytics Modeling & Data Quality Design, build, and maintain dbt models (staging, intermediate, production layers) that serve as the single source of truth for Capital KPIs, with machine-readability in mind Enforce data quality through dbt tests, source freshness checks, and documentation so downstream consumers can trust what they see Write complex SQL transformations on large datasets; optimize for cost and performance Reporting & BI Translate business questions into well-scoped analytical requirements; define metrics in collaboration with Capital leadership and keep definitions governed in our semantic layer Build and own the Omni BI semantic layer, enabling self-serve chat and dealer-facing embedded reporting Balance responsiveness to ad-hoc requests while optimizing via building: triage what should be answered once vs. what should be codified so stakeholders or AI tools can self-serve it in the future Deliver clear, compelling data narratives to non-technical stakeholders; support follow-on questions and iterate quickly Capital Business Domains Lead Targeting: develop models and dashboards that identify high-propensity dealer and borrower segments to support outbound sales strategy Loan Origination Tracking: build funnel visibility from application through funding; surface bottlenecks and conversion opportunities Operational Functions: provide analytical support for account management workflows, dealer servicing SLAs, and audit/compliance reporting Project Ownership & Stakeholder Partnership Own analytical initiatives end-to-end: identify stakeholders, define scope and timelines, and execute without requiring close supervision Proactively surface opportunities and deliver data-driven recommendations — not just answers to questions that were asked Navigate competing priorities across multiple stakeholder groups; propose win-win solutions when technical requirements conflict What you will need (Skills, Experience, Education) : Education BA/BS in Statistics, Mathematics, Computer Science, Operations Research, or related Master's or Ph.D. a plus, but offset by demonstrated experience and a deep toolbox Experience 5+ years of professional experience in analytics engineering, data engineering, or BI Hands-on production experience with dbt (model design, testing, documentation, incremental strategies) Proficiency building semantic layers; Omni or Looker BI experience preferred, but similar experience considered Expert-level SQL; comfortable with window functions, complex joins, and query optimization in BigQuery or a comparable cloud warehouse Experience delivering major analytical initiatives independently, from scoping through stakeholder presentation Background in financial services, fintech, or lending is a meaningful plus - familiarity with origination, account management, or B2B lending workflows accelerates ramp Experience with Git-based version control workflows Soft Skills Communicates analytical findings clearly to non-technical audiences Comfortable navigating ambiguity Collaborative, low-ego, and invested in the team's collective output Strong instinct for knowing when to answer quickly vs. when to build properly Nice-to-Haves Experience with Google Cloud Platform Familiarity with AI-assisted analytics or developer workflows Exposure to credit risk, payment systems, or audit/compliance reporting contexts Our Values Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know. For information on our collection and use of your personal information, please see our Privacy Notice. No immigration or work visa sponsorship provided for this position. Compensation : The compensation range for this position is listed in the "Job Details" section at the bottom of this posting. Please note that final compensation will be determined based upon the applicant's relevant experience, skillset, location, business needs, market demands, and other factors as permitted by law.