Commercial Analytics Director

BetterCloud; Chicago (IL); On-site; USD 180,000 - 240,000; Full time

Job summary

ACV is seeking a Commercial Analytics Director to lead its analytics and BI strategy, partnering with Sales and Commercial Solutions to deliver account-level analyses that illuminate customer value and growth opportunities across channels.

The role emphasizes translating complex data into clear narratives for executives and customers, leveraging SQL, Python/R, and LLM tools to drive decisions and improve KPIs. Strong familiarity with automotive remarketing is a plus.

Qualifications

• Bachelor's degree in quantitative discipline; 10+ years in commercial analytics with 5+ years leading analytics teams.
• Advanced SQL and experience building executive KPI dashboards in BI platforms (Power BI/Tableau/Looker).
• Experience with Python or R for advanced analytics; familiarity with cloud data platforms and CRM systems.

Responsibilities

• Define and own analytics and BI strategy aligned with growth objectives and dashboards for executives.
• Own recurring performance reporting across commercial accounts and run custom analyses with Sales to quantify value for customers.
• Develop customer segmentation and lifetime-value views to identify growth opportunities.
• Create KPI dashboards for operations and pricing analytics to guide decisions and monitor margins.
• Apply statistical methods and ML where appropriate to improve commercial performance.

Skills

Advanced SQL

Python or R

LLM tools (Claude)

Statistical modeling

Executive storytelling

Education

Bachelor's degree in a quantitative discipline

Master's degree (MBA, Analytics, Data Science, Economics)

Tools

Power BI

Tableau

Looker

Snowflake

Azure

AWS

Google Cloud

Salesforce

Job description

The Commercial Analytics Director leads ACV's commercial intelligence function, turning data into decisions that grow revenue, strengthen customer relationships, and improve operational performance across our physical and digital channels. The ideal candidate pairs strong business acumen with genuine mathematical and statistical depth, fluency with databases and BI tooling, and the ability to translate complex analysis into clear stories for both executives and customers. A significant part of the role is customer-facing: partnering with Commercial Solutions and Sales to produce custom, account-level analyses that show existing and prospective commercial customers how remarketing vehicles upstream or downstream with ACV advances their own KPIs. Familiarity with the automotive wholesale and remarketing industry is a strong plus.

Key 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 — for example, days-to-sale, net proceeds and 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 churnRevenue and demand forecastingVehicle pricing optimization Inventory and buyer-propensity modelingSales 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.

Qualifications

• Required 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 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).

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