Commercial Analytics Director

ACV Auctions · Miami, FL · 3 wk ago

AnalystFull-time

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. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere.

About Us

ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry by building the most trusted and efficient digital marketplace with data solutions for sourcing, selling, and managing used vehicles. Our network of brands includes ACV Auctions, ACV Transportation, ClearCar, MAX Digital, ACV Capital, True360, and Data Services.

Responsibilities

Analytics Leadership & BI Strategy
- Define and own the commercial analytics and business-intelligence strategy, aligning the analytics and BI roadmap with ACV's growth objectives.
- Establish best practices for analytics, reporting, data visualization, and data governance across commercial functions.
- Partner with executive leadership to define the KPIs and executive dashboards that guide strategic decisions.
- Drive automation and scalability in reporting to reduce manual effort and speed time-to-insight.
- Manage departmental priorities, budgets, and vendor relationships; foster a culture of curiosity and continuous improvement.
Commercial Account Reporting & Business Development Analytics
- Own recurring performance reporting for commercial accounts across dealer, fleet, financial-institution, rental, OEM, and commercial-consignor segments.
- Partner with Commercial Solutions and Sales to run custom, account-level analyses that quantify the value ACV delivers to each customer.
- Demonstrate to existing and prospective commercial customers how remarketing vehicles upstream or downstream with ACV supports their KPIs (e.g., days-to-sale, net proceeds, price retention, transportation and reconditioning costs, and channel mix).
- Translate findings into compelling, executive-ready and customer-ready materials that support business development, renewals, and account expansion.
- Develop customer segmentation and lifetime-value views that identify high-value accounts and growth opportunities.
Remarketing Center Operations — KPIs & Dashboards
- Establish and own KPI dashboards for Remarketing Center Operations, giving leadership clear visibility into throughput, cycle time, inspection and condition quality, inventory flow, and cost-to-process.
- Partner with operations leadership to define metrics, targets, and reporting cadences.
- Surface bottlenecks and improvement opportunities that increase operational efficiency and vehicle liquidity.
Revenue, Pricing & Margin Analytics
- Analyze auction pricing, buyer demand, conversion rates, and vehicle performance to support revenue growth.
- Support pricing analytics across auction fees, digital services, transportation, reconditioning, and ancillary products, including elasticity and profitability considerations.
- Monitor gross margin, revenue mix, and profitability across customer segments.
Advanced Analytics & Statistical Modeling
- Apply sound statistical methods and, where appropriate, machine learning to improve commercial performance.
- Develop predictive and segmentation models spanning:
  - Customer retention and churn
  - Revenue and demand forecasting
  - Vehicle pricing optimization
  - Inventory and buyer-propensity modeling
  - Sales opportunity scoring
- Bring quantitative rigor and clear judgment to how models are built, validated, and communicated.
Cross-Functional Partnership
- Finance — partner on budgeting, forecasting, and profitability analysis.
- Sales & Commercial Solutions — measure territory and pipeline performance, acquisition, retention, and account growth.
- Marketing — evaluate campaign performance and customer-acquisition costs.
- Operations & Digital Product — improve auction efficiency, inventory flow, and marketplace optimization.

Requirements

Bachelor's degree in a quantitative discipline — Statistics, Mathematics, Economics, Data Analytics, Finance, or a related field.
10+ years in commercial analytics, business intelligence, revenue/strategy analytics, or a closely related field.
5+ years leading and developing analytics teams.
Strong foundation in applied statistics and quantitative methods (e.g., regression, forecasting, segmentation, experimentation, and statistical inference).
Advanced SQL, with hands-on experience working directly in relational and/or cloud databases and data models.
Proven ability to design and build executive-grade KPI dashboards in BI platforms such as Power BI, Tableau, or Looker.
Director-level experience leveraging large language model (LLM) tools (such as Claude) to develop an industry-leading suite of analytics and business-intelligence tools.
Strong financial and quantitative modeling skills.
Track record partnering with sales, pricing, or commercial organizations and presenting to executive leadership.
Ability to translate complex analysis into clear narratives for both executive and customer audiences.

Preferred Qualifications

Master's degree (MBA, Analytics, Data Science, Statistics, Economics, or a related field).
Experience in automotive, wholesale vehicle auctions, remarketing, fleet management, mobility, retail automotive, or marketplace businesses.
Proficiency in Python or R for advanced analytics.
Familiarity with cloud data platforms such as Snowflake, Azure, AWS, or Google Cloud.
Experience with CRM platforms (Salesforce preferred).

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, paid sick days, 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 law.
Employee Stock Purchase Program with additional opportunities to earn stock in the Company.
Retirement planning through the Company’s 401(k).