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Executive Predictive Analytics Jobs in Lexington, SC

... and executive reporting. What You'll Do: * Track, organize, and analyze recurring system ... Support predictive forecasting for product metrics, cost modeling, and internal process ...

... and executive reporting. What You'll Do: * Track, organize, and analyze recurring system ... Support predictive forecasting for product metrics, cost modeling, and internal process ...

Executive Predictive Analytics information

See Lexington, SC salary details

$22.7K

$80.1K

$157.5K

How much do executive predictive analytics jobs pay per year?

As of Sep 12, 2026, the average yearly pay for executive predictive analytics in Lexington, SC is $80,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,600.00 and $103,100.00 per year, depending on experience, location, and employer.

What is an executive predictive analytics?

Executive Predictive Analytics refers to the use of advanced data analysis techniques and machine learning models by organizational leaders to forecast future business outcomes and inform strategic decisions. Executives use predictive analytics to anticipate market trends, identify risks and opportunities, and optimize resource allocation. This role requires a combination of business acumen, data science knowledge, and the ability to translate complex data into actionable insights for high-level decision-making.

How does an executive predictive analytics professional typically collaborate with other departments to drive business outcomes?

An Executive Predictive Analytics professional often works closely with teams across marketing, finance, operations, and IT to align advanced analytics initiatives with broader business goals. They translate complex data insights into actionable strategies, facilitating data-driven decision-making at the executive level. Regular cross-functional meetings and workshops are common to ensure that predictive models are integrated into business processes and that stakeholders understand their impact. Collaboration is key, as these executives must communicate technical findings in an accessible way to influence strategic planning and organizational change.

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

To thrive as an Executive in Predictive Analytics, you need advanced expertise in statistical analysis, data modeling, and business strategy, usually supported by a degree in data science, statistics, or a related field. Familiarity with analytics platforms such as SAS, R, Python, and big data tools, as well as certifications like Certified Analytics Professional (CAP), is highly beneficial. Exceptional leadership, communication, and strategic decision-making abilities set standout executives apart in this field. These skills enable leaders to drive data-informed organizational growth, align analytics initiatives with business objectives, and foster innovation across teams.

What is the difference between Executive Predictive Analytics vs Data Scientist?

AspectExecutive Predictive AnalyticsData Scientist
Required CredentialsOften requires advanced degrees in business, analytics, or related fields; certifications in analytics toolsTypically requires degrees in computer science, statistics, or mathematics; certifications in programming and data analysis
Work EnvironmentStrategic, executive-level settings; focuses on business impact and decision-makingTechnical environment; involves data modeling, coding, and statistical analysis
Employer & Industry UsageUsed in corporate strategy, finance, marketing, and operations departmentsEmployed across tech, finance, healthcare, and research organizations

While both roles involve data analysis and predictive modeling, Executive Predictive Analytics focuses on strategic insights for leadership decision-making, whereas Data Scientists handle technical data modeling and algorithm development. The roles often overlap but differ mainly in scope and target audience.

Senior Manager, Sales Analytics & Revenue Intelligence

Columbia, SC • On-site

Command Alkon Incorporated
Software Development • 501 - 1,000 employees

Full-time

Posted 29 days ago


Job description

Title: Senior Manager, Sales Analytics & Revenue Intelligence

 

Summary of Role

As the Senior Manager, Sales Analytics & Revenue Intelligence, you will be responsible for driving quota modeling, territory analysis, and commission planning to align the sales organization with company growth objectives. This role requires deep proficiency in Salesforce, forecasting tools such as Gong and Clari, and a strong working knowledge of AI tooling to surface insights and improve forecast accuracy. This position reports to the Vice President of Sales Operations and Business Development.

How You’ll Succeed

·       Design, build, and maintain data-driven quota models that are equitable and aligned to annual revenue targets, go-to-market strategy, and headcount plans. Be able to run scenario planning that models the impact of market shifts, rep changes, or strategic pivots on quota attainment and revenue outcomes.

·       Help conduct in-depth territory analysis to evaluate coverage gaps, identify growth opportunities, and optimize rep alignment across segments and geographies. Deliver quarterly reviews of quota and territory performance with actionable recommendations to improve fairness and productivity.

·       Work with Sales Leadership and Finance with end-to-end design and administration of sales commission and incentive compensation plans, ensuring accuracy, timeliness, and tight alignment to business goals. Collaborate with Sales, Finance, and HR to model plan changes, assess cost of sales, and evaluate motivational impact.

·       Serve as a Salesforce power user and operational steward to help ensure data integrity, used by Sales leadership. Help build and maintain dashboards, reports, and alerts that give leadership real-time visibility into pipeline health, forecast accuracy, and sales velocity.

·       Leverage Gong and other forecasting platforms to drive predictive accuracy, identify deal risk, and improve call-to-close conversion rates.

·       Work within Sales Operations to help apply AI-powered tools to automate repetitive analytical workflows, generate insights from large datasets, and accelerate time-to-insight for sales leadership. Help champion the adoption of AI tooling across the Sales Operations function and stay current on emerging capabilities that create competitive advantage.

·       Prepare and present accurate, timely analysis on sales performance, pipeline trends, and KPIs for VP-level and executive audiences. Collaborate cross-functionally with Finance, Marketing, and Product to ensure Sales Operations data and planning assumptions are consistent and well-integrated.

·       Drive continuous improvement in reporting, process efficiency, and data governance—identifying opportunities to reduce manual work and increase analytical leverage across the sales organization.

What You Bring

·       5+ years of experience in Sales Operations, Revenue Operations, or a closely related analytical role within a B2B or SaaS environment.

·       Bachelor’s degree in Business, Finance, Economics, or a related field; advanced degree a plus.

·       Proven expertise in quota modeling, territory design, and incentive compensation planning.

·       Deep, hands-on proficiency with Salesforce (SFDC) including reports, dashboards, and data management.

·       Extensive experience with forecasting and conversation intelligence platforms such as Gong, Clari, or equivalent tools.

·       Strong working knowledge of AI tooling and a demonstrated track record of applying AI-powered solutions to operational or analytical challenges.

·       Advanced skills in Excel and/or Google Sheets; experience with BI tools preferred.

·       Exceptional analytical and financial modeling skills with meticulous attention to detail and a high regard for data accuracy.

·       Strong communicator capable of distilling complex analyses into clear, executive-ready insights and recommendations.

·       Self-starter with the ability to manage multiple priorities independently in a fast-paced, high-growth environment.

Who You Are

Decision Quality: You make good and timely decisions that keep the organization moving forward.

Financial Acumen: You interpret and apply understanding of key financial indicators to make better business decisions.

Plans and Aligns: You plan and prioritize work to meet commitments aligned with organizational goals.

Communicates Effectively: You develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences.

Tech Savvy: You anticipate and adopt innovations in business-building digital and technology applications.
Drives Results: You consistently achieve results, even under tough circumstances.

 

All Company Core Competencies

Customer Focus: You build strong customer relationships and deliver customer-centric solutions.

Cultivates Innovation: You create new and better ways for the organization to be successful.

Collaborates: You build partnerships and work collaboratively with others to meet shared objectives.

Instills Trust: You gain the confidence and trust of others through honesty, integrity, and authenticity.

Self-Development: You actively seek new ways to grow and be challenged using both formal and informal development channels.

Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for employment visa sponsorship.