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Analytics Jobs in Oklahoma (NOW HIRING)

Deloitte

Finance Analytics & AI Manager

Tulsa, OK

Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership ...

Deloitte

Finance Analytics & AI Manager

Tulsa, OK

Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK

$104K - $125K/yr

The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK · On-site

$104K - $125K/yr

The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and ...

Credit Agricole CIB

$125K - $150K/yr

You thrive in a fast-paced environment where analytical thinking meets creative problem-solving. Your attention to detail is matched by your ability to see the big picture, allowing you to transform ...

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All JobsAnalytics JobsAnalytics Jobs in Oklahoma

Analytics information

See Oklahoma salary details

$59.6K

$115.7K

$165.3K

How much do analytics jobs pay per year?

As of Aug 11, 2026, the average yearly pay for analytics in Oklahoma is $115,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $137,600.00 per year, depending on experience, location, and employer.

What is analytics?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but it is considered a lucrative career option for those with strong analytical and technical skills.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What is analytics as a job?

A job in analytics involves collecting, analyzing, and interpreting data to help organizations make informed decisions. Analysts use tools like Excel, SQL, and data visualization software to identify trends and insights. Strong problem-solving skills and attention to detail are essential for success in this role.

What are the key skills and qualifications needed to thrive in analytics?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

What are the most commonly searched types of Analytics jobs in Oklahoma? The most popular types of Analytics jobs in Oklahoma are:
What are popular job titles related to Analytics jobs in Oklahoma? For Analytics jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Analytics jobs in Oklahoma look for? The top searched job categories for Analytics jobs in Oklahoma are:
What cities in Oklahoma are hiring for Analytics jobs? Cities in Oklahoma with the most Analytics job openings:
Analytics jobs near you
Infographic showing various Analytics job openings in Oklahoma as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $115,718 per year, or $55.6 per hour.

Adjunct Faculty - Data Analytics

Tulsa Community College

Tulsa, OK • On-site

Part-time

Re-posted 29 days ago

Tulsa Community College rating

5.6

Company rating: 5.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

582nd of 617 rated colleges and universities

Job description

Location : Tulsa, OK
Job Type: Adjunct
Job Number: DATAANALYTICS-12-25
Department: Workforce Development
Opening Date: 12/16/2025
Work Schedule: Hours Vary
Campus: Varies
About TCC: Tulsa Community College is committed to creating positive work environments that support the success of the full range of our employees. We believe that employees who feel valued and respected will create policies, programs, practices, and services to effectively meet the needs and exceed the expectations of our students and employees. We are committed to hiring and retaining culturally competent faculty and staff at all levels of the organization who continue to deepen their skills and competencies to serve the full range of our community.
Job Summary
The TCC Skills Lab is seeking a qualified Adjunct Faculty in Data Analytics to support adult learners in developing in-demand analytical skills through applied instruction, real-world projects, and guided facilitation. This role emphasizes hands-on learning, practical application of data tools, and learner support aligned with workforce readiness outcomes. Adjunct faculty support both structured instructional sessions and open lab environments designed to help learners build confidence and job-ready skills.
Essential Duties
  • Lead instructional sessions covering foundational and intermediate data analytics concepts, including data cleaning, analysis, and visualization. Guide learners in the use of industry-standard tools such as spreadsheets, SQL, Tableau, Power BI, R, or Python, as applicable to the program
  • Facilitate open lab sessions by providing coaching, troubleshooting assistance, and individualized learner support
  • Foster an engaging learning environment that supports all adult learners.
  • Provide timely feedback, coaching, and progress support to learners.
  • Track learner participation and progress in alignment with program requirements.

Minimum Qualifications
  • Bachelor's degree in Data Analytics, Data Science, Statistics, Business, or a related field, or equivalent professional experience.
  • Two (2) or more years of professional experience as a Data Analyst, Business Intelligence Analyst, or in a similar role.
  • Working experience with SQL and at least one analytics or data visualization tool (e.g., R, Python, Tableau, Power BI)
  • Strong facilitation, communication, and learner support skills

Preferred Qualifications
  • Experience supporting workforce development, noncredit, or short-term credential programs

Click below to view a list of our Adjunct Benefits!

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