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. 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.

Analytics

Modeling & Data Quality 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 Reporting & BI 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 Assurance Business Domains Risk: support the business in developing data, predictive, and forecasting models that identify high-risk dealer and vehicle populations to support program management strategy Project Ownership & Stakeholder Partnership 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 Deliver data-driven recommendations propose win-win solutions when technical requirements conflict BA/BS in Statistics, Mathematics, Computer Science, Operations Research, or related 3+ years of qualified experience in analytics engineering, data engineering, or BI ~ Hands-on production experience with dbt (model design, testing, documentation, incremental strategies) ~ Expert-level SQL;

Experience with Git-based version control workflows Communicates analytical findings clearly to non-technical audiences Proficiency building semantic layers; Omni or Looker BI experience preferred, but similar experience considered Familiarity with AI-assisted analytics or developer workflows

📌 Analytics Engineer III, Assurance (Toronto)
🏢 ACV Auctions
📍 Toronto