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ACV Auctions is seeking an Analytics Engineer III to join the Assurance team in Toronto. You will transform raw data into trusted models and reports, and work across the analytics stack from dbt modeling to Omni BI dashboards to surface insights on arbitration risk.
The role emphasizes reducing ad-hoc bottlenecks, building scalable dbt models, self-serve analytics, and collaboration with business stakeholders. Strong SQL, dbt, and data warehousing experience are required.
Posted Wednesday, August 19, 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.
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.
At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer:
The Analytics Engineer III on the ACV Assurance team is a skilled practitioner who transforms raw data into trusted, decision-ready models and reports that drive the business forward. Sitting at the intersection of data engineering and business intelligence, this role contributes across the full analytics stack - from dbt model design and data quality to Omni BI dashboards - and partners with the Assurance Business to surface insights on arbitration risk and product initiatives.
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 business stakeholders can answer common questions themselves.
Design, build, and maintain dbt models (staging, intermediate, production layers) that serve as the single source of truth for Assurance 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
Translate business questions into well-scoped analytical requirements; define metrics in collaboration with Assurance stakeholders and keep definitions governed in our semantic layer
Build upon our 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
Risk: support the business in developing data, predictive, and forecasting models that identify high-risk dealer and vehicle populations to support program management strategy
Product: develop dealer-facing dashboards that illustrate their arbitration trends over time
Execute scoped projects with general guidance: define approach and timelines with input from a manager or senior team member, and drive day-to-day execution independently
Navigate competing priorities across multiple stakeholder groups; propose win-win solutions when technical requirements conflict
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
3+ years of professional experience in analytics engineering, data engineering, or BI
Hands-on production experience with dbt (model design, testing, documentation, incremental strategies)
Expert-level SQL; comfortable with window functions, complex joins, and query optimization in BigQuery or a comparable cloud warehouse
Experience delivering analytical initiatives independently, from scoping through stakeholder presentation
Experience with Git-based version control workflows
Excellent communicator with a strong attention to detail; genuinely curious about the business and willing to dig into the specifics to get things right
Collaborative, low-ego, and invested in the team's collective output
Strong instinct for knowing when to answer quickly vs. when to build properly
Communicates analytical findings clearly to non-technical audiences
Comfortable navigating ambiguity
Proficiency building semantic layers; Omni or Looker BI experience preferred, but similar experience considered
Experience with Google Cloud Platform
Familiarity with AI-assisted analytics or developer workflows
Experience with binary classification and/or loss forecasting
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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.
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No immigration or work visa sponsorship provided for this position.
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.