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Associate Degree In Data Analytics Jobs in Tulsa, OK

Addison Group

Data Engineer II

Tulsa, OK · On-site

$120/hr

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Mathematics, Engineering, or a related field. Required Experience * 3-5 years of experience designing, developing, and ...

Koch Industries

Data Product Analyst

Tulsa, OK · On-site

Bachelor's degree in a related field (data analytics, information systems, business, or statistics) . * Exposure to data governance concepts such as data ownership, stewardship, quality dimensions ...

BOK Financial

Senior Marketing Data Analyst

Tulsa, OK · On-site

$75K - $94K/yr

Data Pay Transparency Salary Range: Not Available Application Deadline: 10/17/2026 BOK Financial ... Degree in Business Analytics, Information Systems, Marketing Analytics, Business, or a related ...

BOK Financial

Senior Marketing Data Analyst

Tulsa, OK

$75K - $94K/yr

Data Pay Transparency Salary Range: Not Available Application Deadline: 10/17/2026 BOK Financial ... Degree in Business Analytics, Information Systems, Marketing Analytics, Business, or a related ...

BOK Financial

Senior Marketing Data Analyst

Tulsa, OK · On-site

$79K - $98K/yr

Data Pay Transparency Salary Range: Not Available Application Deadline: 10/17/2026 BOK Financial ... Degree in Business Analytics, Information Systems, Marketing Analytics, Business, or a related ...

Koch Industries

Business Data Analyst

Tulsa, OK · On-site

Bachelor's degree in Business, Analytics, Data Science, Information Systems, or a related field * Experience using GenAI to create work efficiencies * Exposure to data visualization tools such as ...

FocusKPI

Marketing Operations Analyst

Tulsa, OK · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

FocusKPI

Marketing Operations Analyst

Tulsa, OK

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Safety Radar

Data Scientist

Tulsa, OK · On-site

$80K - $120K/yr

Position requires a Master's degree (or foreign equivalent) in Data Science, Business Analytics, or a related technical field, and 2 years of statistical analysis experience. Experience must include ...

Aep

Coordinator Assc- Coordinator Sr

Tulsa, OK · On-site

$85K - $106K/yr

Associate's degree with 2 years of experience in design, operations, planning, construction or ... Strong reporting and data analytics skills, including the ability to extract, analyze, and ...

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Showing results 21-40

All JobsAssociate Degree In Data Analytics JobsAssociate Degree In Data Analytics Jobs in Tulsa, OK

Associate Degree In Data Analytics information

See Tulsa, OK salary details

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How much do associate degree in data analytics jobs pay per month?

As of Sep 5, 2026, the average monthly pay for associate degree in data analytics in Tulsa, OK is $5,745.67, according to ZipRecruiter salary data. Most workers in this role earn between $5,216.67 and $6,125.00 per month, depending on experience, location, and employer.

What is an associate degree in data analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.

What are the key skills and qualifications needed to thrive with an associate degree in data analytics?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an associate degree in data analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What are popular job titles related to Associate Degree In Data Analytics jobs in Tulsa, OK?

For Associate Degree In Data Analytics jobs in Tulsa, OK, the most frequently searched job titles are:

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The top searched job categories for Associate Degree In Data Analytics jobs in Tulsa, OK are:

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Associate Degree In Data Analytics jobs near you
Infographic showing various Associate Degree In Data Analytics job openings in Tulsa, OK as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $68,948 per year, or $33.1 per hour.

Business Intelligence - Director Enterprise Data & Analytics

CommunityCare

Tulsa, OK • On-site

Full-time

Re-posted 27 days ago

Job description

JOB SUMMARY:
The Director Enterprise Data & Analytics is responsible for leading the organization's data strategy, analytics, reporting, governance, and data engineering functions. This role partners across executive, technical, financial, clinical, and operational teams to deliver trusted data, scalable analytics, reporting modernization, and AI-enabled decision-making support that advances operational excellence, regulatory confidence, and long-term business success.
KEY RESPONSIBILITIES:
  • Oversee enterprise analytics, business intelligence, corporate reporting, data governance, data quality, and data engineering.
  • Oversee modern data platforms, enterprise data architecture, self-service analytics, predictive analytics, automation, and AI readiness.
  • Develop, execute, and maintain the Enterprise Data & Analytics strategy by establishing policies, standards, and best practices for analytics, reporting, governance, and data engineering while advancing data-driven decision-making and evaluating emerging technologies.
  • Lead, develop, and mentor managers and technical professionals while fostering a culture of innovation, accountability, collaboration, customer service, and continuous learning.
  • Serve as the primary business partner to executive leadership on enterprise data and business intelligence initiatives, while advancing innovation, automation, advanced analytics, and AI-enabled decision support.
  • Collaborate across Finance, IT, Clinical Operations, Medical Management, Network Management, Compliance, and other business areas to align enterprise analytics priorities.
  • Provide strategic leadership for modernization initiatives involving cloud technologies, enterprise reporting, data architecture, and analytics; partner with IT to ensure enterprise systems support scalable reporting and analytics.
  • Manage departmental budgets, establish performance metrics, prioritize resources, and ensure successful execution of strategic initiatives.
  • Partner with data governance, compliance, and security teams to ensure reporting solutions meet HIPAA, CMS, and state regulatory requirements.
  • Perform other related job duties as required or assigned.

QUALIFICATIONS:
  • Ability to translate complex healthcare data into clear, meaningful insights for non-technical audiences.
  • Ability to deliver trusted, timely, and actionable information.
  • Proven success in the execution of enterprise data modernization initiatives.
  • Ability to improve reporting consistency, data quality, and stakeholder confidence.
  • Proven success in increasing adoption of self-service analytics and modern business intelligence.
  • Ability to develop a high-performing Enterprise Data & Analytics organization.
  • Successful completion of Health Care Sanctions background check.

EDUCATION/EXPERIENCE:
  • Bachelor's degree in Information Systems, Computer Science, Business Analytics, Data Science, Healthcare Administration, Finance, Statistics, Applied Mathematics, or related field required; Master's degree preferred.
  • Seven years of progressive experience in enterprise analytics, business intelligence, data engineering, healthcare analytics, or related disciplines.
  • Three years of leadership experience managing analytical, reporting, engineering, or business intelligence teams.
  • Extensive hands-on experience with Power BI, including data modeling, DAX, security, and enterprise deployments.
  • Strong understanding of healthcare data domains (claims, eligibility, providers, quality, finance, utilization).
  • Demonstrated experience leading enterprise technology initiatives, organizational strategy, and cross-functional teams.
  • Advance enterprise data maturity and governance.
  • Three years of managed healthcare experience preferred.
  • Prior Executive and Board reporting experience preferred.
  • Prior enterprise data modernization and governance experience preferred.

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin

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