{"id":3081085,"url":"https://alion.io/job/acv-auctions-commercial-analytics-director","title":"Commercial Analytics Director","company":{"id":179324,"name":"ACV Auctions","domain":"acvauctions.com","url":"https://alion.io/company/acv-auctions","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"A","score":92,"open_postings":16,"ghost_share":0,"stale_share":0.125,"repost_share":0,"time_to_fill_p50_days":67,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Analytics","role_family":"Analytics","seniority":"head","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":147000,"max_usd":251000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":65},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-08-06T04:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-11-03T22:29:36Z","board_verified":true,"closed_at":null,"days_open":89,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":89},"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.\nKey Responsibilities\nAnalytics Leadership & BI Strategy\nDefine and own the commercial analytics and business-intelligence strategy, aligning the analytics and BI roadmap with ACV's growth objectives.\nEstablish best practices for analytics, reporting, data visualization, and data governance across commercial functions.\nPartner with executive leadership to define the KPIs and executive dashboards that guide strategic decisions.\nDrive automation and scalability in reporting to reduce manual effort and speed time-to-insight.\nManage departmental priorities, budgets, and vendor relationships; foster a culture of curiosity and continuous improvement.\nCommercial Account Reporting & Business Development Analytics\nOwn recurring performance reporting for commercial accounts across dealer, fleet, financial-institution, rental, OEM, and commercial-consignor segments.\nPartner with Commercial Solutions and Sales to run custom, account-level analyses that quantify the value ACV delivers to each customer.\nDemonstrate 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.\nTranslate findings into compelling, executive-ready and customer-ready materials that support business development, renewals, and account expansion.\nDevelop customer segmentation and lifetime-value views that identify high-value accounts and growth opportunities.\nRemarketing Center Operations — KPIs & Dashboards\nEstablish 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.\nPartner with operations leadership to define metrics, targets, and reporting cadences.\nSurface bottlenecks and improvement opportunities that increase operational efficiency and vehicle liquidity.\nRevenue, Pricing & Margin Analytics\nAnalyze auction pricing, buyer demand, conversion rates, and vehicle performance to support revenue growth.\nSupport pricing analytics across auction fees, digital services, transportation, reconditioning, and ancillary products, including elasticity and profitability considerations.\nMonitor gross margin, revenue mix, and profitability across customer segments.\nAdvanced Analytics & Statistical Modeling\nApply sound statistical methods and, where appropriate, machine learning to improve commercial performance.\nDevelop predictive and segmentation models spanning:\nCustomer retention and churn\nRevenue and demand forecasting\nVehicle pricing optimization\n Inventory and buyer-propensity modeling\nSales opportunity scoring\nBring quantitative rigor and clear judgment to how models are built, validated, and communicated.\nCross-Functional Partnership\nFinance — partner on budgeting, forecasting, and profitability analysis.\nSales & Commercial Solutions — measure territory and pipeline performance, acquisition, retention, and account growth.\nMarketing — evaluate campaign performance and customer-acquisition costs.\nOperations & Digital Product — improve auction efficiency, inventory flow, and marketplace optimization.\n\nQualifications\nRequired\nBachelor's degree in a quantitative discipline — Statistics, Mathematics, Economics, Data Analytics, Finance, or a related field.\n10+ years in commercial analytics, business intelligence, revenue/strategy analytics, or a closely related field.\n5+ years leading and developing analytics teams.\nStrong foundation in applied statistics and quantitative methods (e.g., regression, forecasting, segmentation, experimentation, and statistical inference).\nAdvanced SQL, with hands-on experience working directly in relational and/or cloud databases and data models.\nProven ability to design and build executive-grade KPI dashboards in BI platforms such as Power BI, Tableau, or Looker.\nDirector-level experience leveraging large language model (LLM) tools (such as Claude) to develop an industry-leading suite of analytics and business-intelligence tools.\nStrong financial and quantitative modeling skills.\nTrack record partnering with sales, pricing, or commercial organizations and presenting to executive leadership.\nAbility to translate complex analysis into clear narratives for both executive and customer audiences.\nPreferred\nMaster's degree (MBA, Analytics, Data Science, Statistics, Economics, or a related field).\nExperience in automotive, wholesale vehicle auctions, remarketing, fleet management, mobility, retail automotive, or marketplace businesses.\nProficiency in Python or R for advanced analytics.\nFamiliarity with cloud data platforms such as Snowflake, Azure, AWS, or Google Cloud.\nExperience with CRM platforms (Salesforce preferred).","description_format":"text","description_chars":5646,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Growth opportunities"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Auctions","Marketplaces"],"lifecycle":[{"event":"open","at":"2026-10-22T12:09:46Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 4","filings_12m":4,"filings_prev_12m":6,"green_card_filings_12m":0,"median_offered_wage_usd":82500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green 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