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Manager Predictive Analytics Jobs in Missouri (NOW HIRING)

Develops predictive models and other tools that help target the right members * Develops ... Managing custom ASO client business definitions thru Rule committee approval, intake submission ...

As Manager of Selection & Assessment Innovation, you'll support the team's broader selection and ... predictive analytics, to surface insights from assessment data. * Work cross-functionally with HR ...

As Manager of Selection & Assessment Innovation, you'll support the team's broader selection and ... predictive analytics, to surface insights from assessment data. * Work cross-functionally with HR ...

As Manager of Selection & Assessment Innovation, you'll support the team's broader selection and ... predictive analytics, to surface insights from assessment data. * Work cross-functionally with HR ...

Showing results 21-40

Manager Predictive Analytics information

What is a manager predictive analytics?

A Manager Predictive Analytics is a professional responsible for overseeing teams and projects that use statistical techniques, machine learning, and data analysis to forecast future trends and support business decision-making. They manage the development and implementation of predictive models, ensuring data quality and actionable insights for their organization. In addition to technical expertise, they coordinate with stakeholders to align analytics initiatives with business goals and often mentor data analysts or data scientists within their team.

What are the key skills and qualifications needed to thrive as a manager predictive analytics?

To thrive as a Manager Predictive Analytics, you need a strong background in statistics, data analysis, and predictive modeling, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with analytics tools such as Python, R, SQL, and familiarity with machine learning platforms, as well as relevant certifications like SAS or AWS Certified Machine Learning, is typically expected. Outstanding leadership, communication, and problem-solving skills help in leading teams and translating complex insights for stakeholders. These abilities ensure data-driven decision-making, effective project management, and impactful business outcomes.

What are the main challenges faced by a manager predictive analytics, and how can they be addressed?

A Manager of Predictive Analytics often encounters challenges such as ensuring data quality, bridging communication gaps between technical teams and business stakeholders, and keeping up with rapidly evolving analytical tools and techniques. Addressing these challenges requires fostering strong cross-functional collaboration, implementing robust data governance practices, and encouraging continuous learning among team members. Additionally, setting clear project objectives and maintaining alignment with business goals can help deliver actionable insights and maximize the impact of predictive analytics initiatives.

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

AspectManager Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Analytics, Statistics, or related field; often managerial certificationsBachelor's or Master's in Data Science, Statistics, or related field; sometimes PhDs
Work EnvironmentLeads teams, manages projects, collaborates with business unitsDevelops models, analyzes data, experiments with algorithms
Employer & Industry UsageBusiness, finance, marketing, healthcare organizationsTech companies, research institutions, finance, healthcare

While both roles focus on data analysis, the Manager Predictive Analytics oversees teams and strategic projects, whereas Data Scientists primarily develop models and conduct in-depth data analysis. The manager role emphasizes leadership and project management, often requiring experience in analytics tools and business acumen, while Data Scientists focus on technical expertise in algorithms and programming.

What are the most commonly searched types of Predictive Analytics jobs in Missouri?

The most popular types of Predictive Analytics jobs in Missouri are:

What job categories do people searching Manager Predictive Analytics jobs in Missouri look for?

The top searched job categories for Manager Predictive Analytics jobs in Missouri are:

What cities in Missouri are hiring for Manager Predictive Analytics jobs?

Cities in Missouri with the most Manager Predictive Analytics job openings:

Infographic showing various Manager Predictive Analytics job openings in Missouri as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Supervisory Management and Program Analyst

Kansas City, MO • On-site


U.S. Department of Agriculture (USDA)
Public Administration • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

455th of 852 rated public administrative organizations

Great coworkers

People enjoy working here

Good employer


$127K/yr

Full-time

Posted 3 days ago

New


Job description

In this position you will serve as a Supervisory Management and Program Analyst (Operations Manager) providing expert leadership, management and oversight for Web-Based Supply Chain Management (WBSCM) operational activities.
Qualifications:Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement, including specialized experience and/or education, as defined below.
FOR THE GS-14 LEVEL: Applicants must have one year of specialized experience (equivalent to the GS-13 grade level) that demonstrates:
  • Developing Business, functional, technical and performance requirements and analysis in an Enterprise Resource Planning (ERP) environment using SAP (Systems Applications and Products).
  • Deploying, supporting, and enhancing Enterprise Resource Planning (ERP) SAP projects and SAP business solutions; functional knowledge of and experience with ERP SAP supply chain application capabilities.
  • Managing systems and applying Artificial Intelligence (Al) concepts and capabilities to support integrated business processes, including machine learning, advanced analytics, forecasting, predictive analytics, and task automations.
  • Leading application change control and release management processes, providing input to release planning and release content to meet business needs.
  • Managing a team, ensuring a wide range of tasks are planned, assigned, and completed, ensuring efficient operations.

Note: There is no education substitution for this grade level.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Education:This position does not have an education qualification requirement.
Employment Type: OTHER


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