ACV Auctions
Analytics Engineer IV, ACV Capital
Remote Analytics Engineering role with clear candidate location fit.
PostedJun 8, 2026
Eligible countries1 accepted country
Seniority signalMiddle
Work settingRemote
Accepted candidate locations
USA
Role overview
Analytics Engineer IV, ACV Capital
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Who we are:
- Multiple medical plans including a high deductible, low cost health plan
- Company-sponsored (paid) Short-Term Disability, Long-Term Disability, and Life Insurance
- Comprehensive optional benefits such as Dental, Vision, Supplemental Life/AD&D, Legal/ID Protection, and Accident and Critical Illness Insurance
- Generous paid time off options, including uncapped vacation days, the greater of 3 paid sick days or in accordance with the applicable state or local paid sick leave law, 6 paid company holidays, 2 floating holidays, parental leave, bereavement leave, jury duty leave, voting leave, and other forms of paid leave as required by applicable law or regulation
- Employee Stock Purchase Program with additional opportunities to earn stock in the Company
- Retirement planning through the Company’s 401(k)
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
Capital Business Domains
- 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
Capital Business Domains
- 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
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