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Manager Predictive Analytics Jobs in Missouri (NOW HIRING)

Ra

Customer Analytic Manager

Saint Louis, MO

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Ra

Customer Analytic Manager

Bolivar, MO

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Atria Group LLC

Big Data Analytics Developer

Saint Louis, MO

$51.50 - $66.75/hr

... managing predictive analytics models. Must be well-versed in writing Scala architecture on OS X and AWS (Amazon Web Services), as well as Java and Clojure. Must have a strong understanding of data ...

ConcertoCare

Sr Actuarial Analyst

Kansas City, MO · On-site

$90K - $110K/yr

Enhance predictive analytics and proprietary clinical algorithms to optimize outcomes. Our ideal ... Manage several fast-paced projects with an ability to produce quality materials within tight ...

New

Jobgether

Develop predictive models and analytical frameworks to support proactive decision-making and ... Mentor and manage a team of GTM analysts, fostering technical excellence, collaboration, and ...

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Manager Predictive Analytics information

What are the key skills and qualifications needed to thrive as a Manager Predictive Analytics, and why are they important?

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 of 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 are 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 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 are popular job titles related to Manager Predictive Analytics jobs in Missouri? For Manager Predictive Analytics jobs in Missouri, the most frequently searched job titles 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:
Manager Predictive Analytics jobs near you
Infographic showing various Manager Predictive Analytics job openings in Missouri as of May 2026, with employment types broken down into 12% Full Time, 87% Part Time, and 1% Nights. Highlights an 83% Physical, and 17% Remote job distribution.

Big Data Analytics Developer

Arka Infotech Inc

Saint Louis, MO

$51.50 - $66.75/hr

Contractor

Posted 6 days ago

Job description

Job Description

Big Data / Analytics Developer
12 Months+
St. Louis, Missouri
08-03-2015
Senior Big Data Analytics Developer w/proven experience developing 'Big Data' algorithmic platforms -- job responsibilities include implementing the analytics infrastructure, data integration with both streaming and batch sources, efficient distributed processing, and managing predictive analytics models. Must be well-versed in writing Scala architecture on OS X and AWS (Amazon Web Services), as well as Java and Clojure. Must have a strong understanding of data modeling in both Remote Procedure Call (RPC) and Representational State Transfer (REST).
My client is currently building a cloud-based analytics platform using open source and SaaS tools--should have experience with Apache Kafka and Samza. Candidate should have a strong understanding of Test-Driven Development, Agile Methodologies, Continuous Integration, and Continuous Deployment--along with analytics techniques such as Machine Learning and Bayesian Methods. Must be familiar with NoSQL on the back end.

Qualifications

BS Degree

Additional Information

All your information will be kept confidential according to EEO guidelines.

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