ZipRecruiter

Log In

1

Predictive Analyst Jobs in Oklahoma (NOW HIRING)

Enterprise

Entegral Financial Analyst

Norman, OK · On-site

$75K - $90K/yr

Operating at the intersection of finance and data, you will build automated reporting systems, create predictive analysis tools, design financial calculators, and partner with departments across ...

Enterprise

$75K - $90K/yr

Operating at the intersection of finance and data, you will build automated reporting systems, create predictive analysis tools, design financial calculators, and partner with departments across ...

Enterprise

Entegral Financial Analyst

Oklahoma City, OK · On-site

$75K - $90K/yr

Operating at the intersection of finance and data, you will build automated reporting systems, create predictive analysis tools, design financial calculators, and partner with departments across ...

Enterprise

$75K - $90K/yr

Operating at the intersection of finance and data, you will build automated reporting systems, create predictive analysis tools, design financial calculators, and partner with departments across ...

Enterprise

Entegral Financial Analyst

Broken Arrow, OK · On-site

$75K - $90K/yr

Operating at the intersection of finance and data, you will build automated reporting systems, create predictive analysis tools, design financial calculators, and partner with departments across ...

Enterprise

$75K - $90K/yr

Operating at the intersection of finance and data, you will build automated reporting systems, create predictive analysis tools, design financial calculators, and partner with departments across ...

Enterprise

Entegral Financial Analyst

Edmond, OK · On-site

$75K - $90K/yr

Operating at the intersection of finance and data, you will build automated reporting systems, create predictive analysis tools, design financial calculators, and partner with departments across ...

Enterprise

$75K - $90K/yr

Operating at the intersection of finance and data, you will build automated reporting systems, create predictive analysis tools, design financial calculators, and partner with departments across ...

Enterprise

$75K - $90K/yr

Operating at the intersection of finance and data, you will build automated reporting systems, create predictive analysis tools, design financial calculators, and partner with departments across ...

Enterprise

Entegral Financial Analyst

Tulsa, OK · On-site

$75K - $90K/yr

Operating at the intersection of finance and data, you will build automated reporting systems, create predictive analysis tools, design financial calculators, and partner with departments across ...

Enterprise

$75K - $90K/yr

Operating at the intersection of finance and data, you will build automated reporting systems, create predictive analysis tools, design financial calculators, and partner with departments across ...

Enterprise

Entegral Financial Analyst

Lawton, OK · On-site

$75K - $90K/yr

Operating at the intersection of finance and data, you will build automated reporting systems, create predictive analysis tools, design financial calculators, and partner with departments across ...

next page

Showing results 1-20

All JobsPredictive Analyst JobsPredictive Analyst Jobs in Oklahoma

Predictive Analyst information

See Oklahoma salary details

$12

$41

$71

How much do predictive analyst jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for predictive analyst in Oklahoma is $41.24, according to ZipRecruiter salary data. Most workers in this role earn between $27.17 and $52.62 per hour, depending on experience, location, and employer.

What does a predictive analyst do?

A predictive analyst uses statistical models and data analysis techniques to forecast future trends and behaviors based on historical data. They often work with tools like Python, R, or SQL and interpret data to support decision-making in various business areas. Strong analytical skills and knowledge of machine learning are essential for this role.

Is 40 too late for data science?

Predictive analysts and data scientists can successfully enter the field at age 40 or older, as experience, analytical skills, and continuous learning are highly valued. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or R, often through online courses or certifications.

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

To thrive as a Predictive Analyst, you need a strong background in statistics, data analysis, and a relevant degree such as mathematics, computer science, or economics. Proficiency with data analytics tools like Python, R, SQL, and machine learning platforms, as well as familiarity with data visualization software, is typically required. Strong problem-solving abilities, critical thinking, and effective communication skills help you translate complex data findings into actionable business insights. These skills and qualifications are essential for delivering accurate forecasts that drive strategic decision-making and business growth.

How does a Predictive Analyst typically collaborate with other teams within an organization?

Predictive Analysts often work closely with cross-functional teams such as marketing, product management, and IT. They translate complex data findings into actionable insights for business decision-makers, requiring strong communication skills and the ability to present data visually. Collaboration may involve regular meetings to define project goals, share progress, and refine predictive models based on team feedback. This interdepartmental cooperation ensures that analytics align with overall business strategies and deliver measurable value.

Which 3 jobs will survive AI?

Predictive analysts are likely to continue thriving as their role involves interpreting complex data and developing models that require human judgment and domain expertise. Jobs that involve creative thinking, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and managers, are also expected to persist despite AI advancements. These roles often require skills that are difficult for AI to replicate fully.

What is a Predictive Analyst?

A Predictive Analyst is a professional who uses data analysis, statistical techniques, and machine learning models to forecast future outcomes and trends for a business or organization. They collect and interpret large sets of data to identify patterns and make predictions that help guide strategic decisions. Predictive Analysts often work with various software tools and collaborate with other departments to improve business performance and anticipate future challenges or opportunities.

What jobs make $1,000,000 a year?

Predictive analysts typically do not earn $1,000,000 annually; such high salaries are usually associated with top executives, successful entrepreneurs, hedge fund managers, or highly specialized roles in finance and technology. Achieving this level often requires extensive experience, advanced skills, and significant performance-based bonuses or equity. Most roles in data analysis and related fields have lower salary ranges, with top-tier positions in certain industries reaching high seven figures or more.

What is the difference between Predictive Analyst vs Data Analyst?

AspectPredictive AnalystData Analyst
Required CredentialsBachelor's in Statistics, Data Science, or related field; often certifications in predictive modelingBachelor's in Data Analysis, Statistics, or related field; certifications in data visualization or analysis tools
Work EnvironmentAnalytical teams, data science departments, often in tech, finance, or healthcareBusiness units, reporting teams, across various industries
Employer & Industry UsageUsed in industries requiring forecasting and predictive modeling, like finance, marketing, healthcareUsed broadly for data reporting, visualization, and descriptive analysis across industries

Predictive Analysts focus on building models to forecast future trends using statistical and machine learning techniques, while Data Analysts primarily interpret existing data to generate reports and insights. Both roles require strong analytical skills, but Predictive Analysts typically have more specialized training in predictive modeling and data science tools.

What are popular job titles related to Predictive Analyst jobs in Oklahoma? For Predictive Analyst jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Predictive Analyst jobs in Oklahoma look for? The top searched job categories for Predictive Analyst jobs in Oklahoma are:
Predictive Analyst jobs near you
Infographic showing various Predictive Analyst job openings in Oklahoma as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $85,773 per year, or $41.2 per hour.

Data Analyst III/II/I

Americanfidelity

Oklahoma City, OK

Full-time

Posted 10 days ago

Job description

* Plan, implement and execute data mining and predictive modeling related projects to which they are assigned to deliver intended business value propositions, on time and within scope according to agreed upon priorities. The Data Analyst is accountable for working collaboratively with Data Navigators and for the successful delivery of all projects under their supervision.

* Assist the Research & Development team, Executive Management, and AFA through the production and maintenance of data and metrics regarding demographics, market trends, behavioral economics, and socioeconomic shifts.

* Drive business value through actionable insight and opportunity identification as facilitated through comprehensive exploratory, interactive, adaptive, and iterative data mining, machine learning, data science, clustering, artificial intelligence (AI), and predictive modeling related analysis which have generally high complexity and/or business risk.

Skills of Ideal Candidate:

1. Advanced knowledge of one or more differing statistical programming languages such as SAS, R or Stata.

2. Ability to develop structure and/or program databases specifically within an MS SQL environment, skilled in the utilization of Structured Query Language (SQL) for interacting with data sets. Understanding of data structures and ability to become proficient in mining data structures and lineage in support of data foot printing and inventory techniques.

3. Skilled in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data Robot

4. Skilled in MS Office Suite including MS Access, Excel, PowerPoint, Word and MS SharePoint.

5. Familiarity with the following disciplines

Natural Language Processing: Interaction between computers and humans

Machine Learning: using computers to improve as well as develop algorithms

Conceptual modeling: to be able to share and articulate conceptual approaches to solving business questions/problems

Statistical analysis and Predictive modeling

Hypothesis testing: design hypothesis, document control and test with appropriate modeling and experimentation

6. Ability to query databases and datasets and perform statistical analysis on enterprise-class database systems.

7. Exceptional presentation skills.

8. Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing.

9. Strong negotiation skills.

10.Strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.

11. Exceptional analytical thinking and problem solving skills.

12. Exceptional understanding of business and business strategy.

13.Strongplanning skills.

14. Exceptional organizational skill and ability to work autonomously.

15. Experience using data visualization tools such as QlikSense or Tableau

16. Innovative curiosity

17.Strongknowledge of Data Science

18.Ability to deal with ambiguity

Education Requirements:

Data Analyst III: Actuarial Designationscan substitute for PhD.AFA specific data experience will be considered in lieu of PhD oncase by casebasis

Data Analyst I/II: High school diploma or equivalent

#AFC

Apply