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Analytics Director Jobs in Fort Mill, SC (NOW HIRING)

acv

Commercial Analytics Director

Dallas, TX

The Commercial Analytics Director leads ACV's commercial intelligence function, turning data into decisions that grow revenue, strengthen customer relationships, and improve operational performance ...

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$62.4K

$138.9K

$214.9K

How much do analytics director jobs pay per year?

As of Aug 28, 2026, the average yearly pay for analytics director in Fort Mill, SC is $138,945.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $158,200.00 per year, depending on experience, location, and employer.

What does an analytics director do?

An Analytics Director leads a team responsible for analyzing data to inform business decisions and strategies. They oversee the collection, interpretation, and communication of data insights across departments, ensuring data-driven decision-making. Their role often includes developing analytics frameworks, managing data teams, setting key performance indicators, and collaborating with leadership to align analytics initiatives with organizational goals. Additionally, Analytics Directors help implement data governance policies and ensure analytics tools and techniques are effectively utilized.

What does an analytics director do?

An analytics director oversees the data analytics and data warehousing departments at a company. As an analytics director, you take the lead on all data analytics systems and ensure your department aligns with the company’s priorities. You research and develop strategies to improve the analytics of your company. You collaborate with your team along with other members of your company’s senior leadership to influence data capabilities and competencies in the company. Your responsibilities include adopting appropriate tools and software to drive innovation. Other duties include staying informed on the latest industry trends in data analytics.

What are the key skills and qualifications needed to thrive as an analytics director, and why are they important?

To thrive as an Analytics Director, you need strong analytical abilities, expertise in statistical methods, advanced data modeling, and typically a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and experience with big data systems are common requirements. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional projects and translate complex data into actionable insights for stakeholders. These skills and qualities are essential to effectively lead analytics teams, influence business decisions, and deliver measurable value to the organization.

What are some common challenges faced by an analytics director and how can they be addressed?

Analytics Directors often encounter challenges such as aligning analytics initiatives with overall business goals, managing and integrating data from multiple sources, and communicating complex findings to non-technical stakeholders. To address these, it's important to foster close collaboration with business leaders, invest in scalable data infrastructure, and develop strong communication skills within the analytics team. Building a culture of data-driven decision-making and continuous learning also helps overcome these obstacles and ensures the analytics function delivers real value.

What is the difference between Analytics Director vs Data Scientist?

AspectAnalytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Business, Analytics, or related fields; often prefers experience over certificationsBachelor's or Master's in Computer Science, Statistics, or related fields; may have certifications like Certified Analytics Professional
Work EnvironmentLeads analytics teams, collaborates with executives, oversees strategyAnalyzes data, builds models, and develops algorithms, often working independently or in small teams
Employer & Industry UsageCommon in corporate, finance, marketing, and consulting firmsFound in tech companies, research institutions, and data-driven industries

The Analytics Director focuses on leading analytics strategies and managing teams, while Data Scientists primarily analyze data and develop models. Both roles require strong analytical skills, but the Director has a broader leadership and strategic focus.

More about Analytics Director jobs

What are the most commonly searched types of Analytics jobs in Fort Mill, SC?

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Analytics Director jobs near you
Infographic showing various Analytics Director job openings in Fort Mill, SC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $138,945 per year, or $66.8 per hour.

Commercial Analytics Director

Dallas, TX

acv
Offices of Physicians • 51 - 200 employees
Learn more about acvexternal

Full-time

Posted 22 days ago

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 ResponsibilitiesAnalytics 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 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.

QualificationsRequired

  • 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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