Analytics Engineer IV

Role Description

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.

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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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).