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Executive Predictive Analytics Jobs (NOW HIRING)

Vancro, Inc.

Data Analytics Integrator

Marietta, GA

The selected candidate will develop dashboards, predictive workforce models, data automation tools ... Develop executive-level reports and visualizations for leadership * Identify data discrepancies and ...

Procal Technologies

Data Analyst AI/ML

Houston, TX · Hybrid

Strong experience with Machine Learning, Predictive Analytics, NLP, and AI-driven automation ... Experience working with large datasets and building executive-level dashboards and KPI reporting ...

Humana, Inc.

Senior Financial Analytics Professional

$87K - $109K/yr

Leverage predictive analytics and machine learning techniques to enhance forecasting capabilities ... Prepare executive-level presentations and reporting packages that distill complex data into clear ...

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Executive Predictive Analytics information

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$26.5K

$93.6K

$184K

How much do executive predictive analytics jobs pay per year?

As of Jun 20, 2026, the average yearly pay for executive predictive analytics in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

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.

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 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.

What is the highest paying job in data analytics?

In data analytics, executive roles such as Chief Data Officer (CDO) or Vice President of Data often have the highest salaries, especially in large organizations. These positions require extensive experience, strategic leadership skills, and expertise in data management, analytics tools, and business integration.

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.

Is 40 too late for data science?

For an Executive Predictive Analytics role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data management. Age diversity is common in the field, and employers value expertise and practical knowledge over age.

Is predictive analytics a good career?

Predictive analytics is a strong career choice for those interested in data analysis, statistics, and machine learning. It involves developing models to forecast future trends, often requiring skills in programming, data management, and tools like Python or R. The demand for professionals in this field is growing across industries such as finance, healthcare, and marketing.

Is AI taking over analytics jobs?

Executive Predictive Analytics roles involve using AI and machine learning tools to analyze data and generate insights. While AI automates certain tasks, these jobs also require expertise in interpreting results, developing models, and strategic decision-making, making human oversight essential. AI complements rather than replaces analytics professionals in most environments.
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Executive Predictive Analytics jobs near you
Infographic showing various Executive Predictive Analytics job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Data Analytics Integrator

Data Analytics Integrator

Vancro, Inc.

Marietta, GA

Full-time

Posted 15 days ago

Job description

Location: Marietta, GA (Hybrid/On-Site) Position Type: Full-Time

Pay: 110k – 125k Depending on Experience

Position Overview

Vancro is seeking a Data Analytics Integrator to support a Human Resources Office (HRO) and senior leadership team by integrating manpower, personnel, and budget data into actionable decision-support products. The selected candidate will develop dashboards, predictive workforce models, data automation tools, and reporting products that improve personnel management, resource allocation, and strategic planning.

Primary Responsibilities

  • Develop and maintain Power BI dashboards and analytical products
  • Integrate data from multiple government systems
  • Perform data extraction, transformation, and loading (ETL)
  • Develop workforce forecasting and predictive analytics models
  • Build vacancy tracking and hiring projection tools
  • Monitor personnel actions and workforce lifecycle metrics
  • Create budget and status-of-funds dashboards
  • Develop executive-level reports and visualizations for leadership
  • Identify data discrepancies and recommend corrective actions
  • Support process improvement initiatives through data-driven analysis

Required Qualifications

  • 5+ years of experience in data analytics, business intelligence, workforce analytics, or related field
  • Advanced Power BI experience
  • Experience developing dashboards and executive reporting products
  • Strong Excel and data analysis skills
  • Experience with data integration and data quality management
  • Ability to communicate findings to senior leadership
  • U.S. Citizen

Highly Desired Qualifications

  • Experience with General Fund Enterprise Business System (GFEBS)
  • Experience with Defense Civilian Personnel Data System (DCPDS)
  • Experience with Full-Time Support Management Control System (FTSMCS)
  • Army National Guard, Army HRO, or DoD manpower experience
  • Experience supporting workforce planning, personnel management, or budget execution
  • SQL, Power Query, Power Automate, or similar analytical tools

Preferred Education

  • Bachelor's degree in Data Analytics, Information Systems, Business, Finance, Human Resources, Statistics, or related discipline
  • Relevant certifications such as Power BI, Data Analytics, PMP, or similar are a plus

Why Apply

This position offers the opportunity to directly support senior Army National Guard leadership by transforming personnel and budget data into actionable decision-making tools that influence workforce planning and resource management across the organization.

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About Vancro

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

Las Vegas, NV, US

Year founded

2005

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