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Analytics Engineer IV, ACV CapitalACV Auctions • Buffalo, New York, United States
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Analytics Engineer IV, ACV Capital

ACV Auctions
  • US
    Buffalo, New York, United States
  • US
    Buffalo, New York, United States
Postuler Maintenant

À propos

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:
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)
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, skill set, location, business needs, market demands, and other factors as permitted by law.
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  • Buffalo, New York, United States

Compétences linguistiques

  • English
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