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Data Analytics Director Jobs in Tulsa, OK (NOW HIRING)

Director of Product, IT

Tulsa, OK ยท On-site

$202K - $211K/yr

Help develop data products, improve data quality, and connect analytics capabilities to measurable ... Direct experience managing products within a healthcare payer/health plan environment is required

... assessments, data analytics and visualization, health research and services, strategic ... The Finance and Administration Director directs staff engaged in providing services in Finance;

The Director of Sports Science assists the Assistant Athletic Director (AD) of Strength and ... Maintain up-to-date records on data analytics programs for each assigned team and individual ...

The Director of Sports Science assists the Assistant Athletic Director (AD) of Strength and ... Maintain up-to-date records on data analytics programs for each assigned team and individual ...

Showing results 21-40

Data Analytics Director information

See Tulsa, OK salary details

$64.8K

$144.4K

$223.3K

How much do data analytics director jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data analytics director in Tulsa, OK is $144,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $164,400.00 per year, depending on experience, location, and employer.

What does a Data Analytics Director do?

A Data Analytics Director is responsible for overseeing the data analytics department within an organization. They lead teams that collect, process, and interpret large sets of data to provide actionable insights for business decision-making. This role involves developing data strategies, implementing analytical tools and techniques, and ensuring data quality and security. The Data Analytics Director also collaborates with other departments to align analytics initiatives with organizational goals and drive data-driven growth.

What are the key skills and qualifications needed to thrive as a Data Analytics Director?

To thrive as a Data Analytics Director, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a relevant degree and significant experience in analytics leadership. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, along with knowledge of data governance and cloud technologies, is essential. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional collaboration and translate data insights into business value. These competencies are crucial for guiding analytic strategy, ensuring data-driven decision-making, and maximizing organizational impact.

What are some common challenges faced by a Data Analytics Director when aligning analytics initiatives with business objectives?

A Data Analytics Director often encounters challenges in ensuring that analytics projects are closely aligned with the strategic goals of the organization. This includes bridging communication gaps between technical teams and business stakeholders, prioritizing projects with the highest business impact, and managing expectations regarding what data analytics can deliver. Additionally, it can be challenging to foster a data-driven culture across departments and to secure buy-in for data initiatives. Effective collaboration, clear communication, and a strong understanding of both analytics and business priorities are essential to overcome these hurdles.

What is the difference between Data Analytics Director vs Data Scientist?

AspectData Analytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; often requires leadership experienceBachelor's, Master's, or Ph.D. in Data Science, Statistics, or related field; technical expertise in modeling
Work EnvironmentLeadership role overseeing analytics teams, strategic planning, and project managementHands-on data analysis, model development, and algorithm implementation
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon in tech, research, and analytics firms for developing data models and insights

The main difference is that a Data Analytics Director focuses on leading analytics teams and strategic initiatives, while a Data Scientist is primarily involved in technical data modeling and analysis. Both roles require strong analytical skills, but the Director role emphasizes leadership and business strategy.

What are the most commonly searched types of Data Analytics jobs in Tulsa, OK?

The most popular types of Data Analytics jobs in Tulsa, OK are:

What are popular job titles related to Data Analytics Director jobs in Tulsa, OK?

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

What job categories do people searching Data Analytics Director jobs in Tulsa, OK look for?

The top searched job categories for Data Analytics Director jobs in Tulsa, OK are:

What cities near Tulsa, OK are hiring for Data Analytics Director jobs?

Cities near Tulsa, OK with the most Data Analytics Director job openings:

Infographic showing various Data Analytics Director job openings in Tulsa, OK as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $144,419 per year, or $69.4 per hour.

Contract & Data Analyst (Managed Care)

i4 Search Group Healthcare

Tulsa, OK โ€ข On-site

$68K - $98K/yr

Full-time

Re-posted 9 days ago


Key responsibilities

  • Analyze managed care contracts and communicate operational and financial impacts to internal stakeholders.

  • Develop financial models and projections for proposed and existing physician and hospital contracts.

  • Build, test, and maintain contract projection models within Epic.


Job description

Contract & Data Analyst (Managed Care)

Direct Hire | Full-Time | Onsite

Schedule: Monday – Friday, 8:00 AM – 5:00 PM

Compensation: $68,000 – $98,000


Experience with health plan insurance contracting and reimbursement for providers and facilities required



Position Overview

We are seeking a highly analytical Contract & Data Analyst with experience in managed care and provider reimbursement. This role is responsible for contract analysis, financial modeling, Epic build testing, and supporting managed care negotiations.


The ideal candidate will bring strong financial and technical expertise, experience working with health plan contracts, and the ability to translate complex contract language into actionable reimbursement models within Epic.

This is a collaborative, high-visibility role that partners with leadership, payors, finance, and operational stakeholders to ensure contract performance, revenue integrity, and negotiation strategy alignment.


Key Responsibilities

  • Analyze managed care contracts and communicate operational and financial impacts to internal stakeholders.
  • Develop financial models and projections for proposed and existing physician and hospital contracts.
  • Monitor contract performance and audit financial outcomes to ensure payment compliance.
  • Identify underpayments and negotiate with payors to recover revenue when appropriate.
  • Review and negotiate contract language in collaboration with leadership.
  • Develop and maintain data sets required for contract modeling and analysis.
  • Maintain departmental processes to track and manage contracts effectively.
  • Resolve contractual disputes by partnering with cross-functional stakeholders.
  • Build, test, and maintain contract projection models within Epic.
  • Perform Epic testing and collaborate with application teams to move builds into production.
  • Troubleshoot and resolve rate and revenue code programming issues to maximize reimbursement.
  • Support ongoing analysis to ensure managed care contract performance meets financial expectations.


Required Qualifications

  • Bachelor’s degree in Business or related field.
  • 3–4 years of experience in managed care, health plan contracting, or provider reimbursement.
  • Experience analyzing physician and hospital reimbursement methodologies.
  • Strong analytical skills with experience in financial modeling and contract analysis.
  • Ability to obtain and maintain Epic certification in assigned modules.
  • Working knowledge of Microsoft Excel, Word, Power BI, and Access.
  • Experience working in a health system, clinic, surgery center, or similar healthcare environment.
  • Strong communication skills with the ability to work cross-functionally.
  • Detail-oriented with the ability to manage complex data and deadlines.


Preferred Qualifications

  • Experience with contract negotiations and contract language interpretation.
  • Familiarity with data warehouse applications.
  • Prior Epic certification.
  • Advanced Power BI experience.


What We’re Looking For

  • A strategic thinker who understands both contract language and reimbursement mechanics.
  • Someone comfortable auditing payor performance and identifying revenue recovery opportunities.
  • A professional who can bridge finance, operations, and IT.
  • A self-starter who thrives under tight deadlines and evolving priorities.