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Data Analytics Mba Jobs in Texas (NOW HIRING)

... Data Analyst to join the finance department. Candidate will work alongside accounting, IT, and ... A bachelors degree in business or related field or an MBA. * Work Experience: A minimum of 5 years ...

The primary focus of our Analytics teams is to generate actionable insights by leveraging data and ... Tableau. Added bonus if you have (Preferred): * MBA or advanced degree in Statistics, Finance ...

The primary focus of our Analytics teams is to generate actionable insights by leveraging data and ... Tableau. Added bonus if you have (Preferred): * MBA or advanced degree in Statistics, Finance ...

Bachelor's degree in Business/Economics or in math/analytics/engineering is required * MBA would be a plus * Hands-on with advanced excel with attention to detail to integrate complex data to build ...

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MBA talent who is passionate about making lives better. Axxess is a leading technology innovator ... Join us as a Business Analyst with our Axxess International Management (AIM) Program. What you will ...

Position Summary The Manager, AI and Data Analytics leads the strategy, design, and delivery of ... Master's degree (MBA, MIS, or related). * Familiarity with ITIL, TOGAF, or other enterprise ...

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Data Analytics Mba information

See Texas salary details

$53

$55

$56

How much do data analytics mba jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data analytics mba in Texas is $55.19, according to ZipRecruiter salary data. Most workers in this role earn between $54.66 and $55.77 per hour, depending on experience, location, and employer.

What is a Data Analytics MBA?

A Data Analytics MBA is a Master of Business Administration program with a concentration in data analytics. This specialized MBA combines core business management education with in-depth training in data analysis, statistical modeling, and data-driven decision-making. Graduates gain skills in interpreting complex data, using analytics software, and applying insights to solve business problems, preparing them for leadership roles in data-centric industries.

How does a Data Analytics MBA typically work with cross-functional teams to drive business decisions?

As a Data Analytics MBA, you'll frequently collaborate with colleagues from departments such as marketing, finance, operations, and IT. Your role is to translate complex data insights into actionable strategies that align with business objectives. This often involves presenting findings to non-technical stakeholders, facilitating data-driven decision-making, and ensuring that analytics projects support overall organizational goals. Strong communication and project management skills are essential, as you'll bridge the gap between technical teams and business leaders.

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

To excel as a Data Analytics MBA, you need a strong foundation in quantitative analysis, business strategy, and data-driven decision-making, typically supported by an MBA with a focus on analytics or a related discipline. Proficiency in data visualization tools (such as Tableau or Power BI), statistical software (like R or Python), and familiarity with databases and SQL are highly valued. Outstanding problem-solving abilities, communication skills, and the ability to translate data insights into actionable business recommendations set top performers apart. These skills are essential to bridge the gap between complex data analysis and strategic business objectives, driving value for organizations.

What is the difference between Data Analytics MBA vs Data Analyst?

AspectData Analytics MBAData Analyst
Required CredentialsMBA with specialization in Data Analytics or related courseworkBachelor's degree in relevant field; certifications like CAP, Microsoft Data Analyst
Work EnvironmentBusiness settings, strategic planning, cross-departmental collaborationData-focused roles, technical analysis, reporting
Employer & Industry UsageBusiness firms, consulting, finance, marketingTech companies, finance, healthcare, retail

In summary, a Data Analytics MBA prepares professionals for strategic roles combining business acumen with data skills, while a Data Analyst focuses on technical data analysis and reporting. The MBA offers broader managerial and strategic perspectives, whereas the Data Analyst role is more technical and specialized.

Is a data analytics MBA worth it?

A data analytics MBA can enhance skills in data management, business strategy, and leadership, making graduates more competitive for roles such as data analyst or business intelligence manager. However, practical experience, technical skills in tools like SQL and Python, and industry certifications often have a significant impact on employability and salary potential. The value depends on career goals and the program's quality.

What are popular job titles related to Data Analytics Mba jobs in Texas?

For Data Analytics Mba jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Data Analytics Mba jobs?

Cities in Texas with the most Data Analytics Mba job openings:

Infographic showing various Data Analytics Mba job openings in Texas as of August 2026, with employment types broken down into 5% Internship, 76% Full Time, 5% Part Time, and 14% Contract. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $114,789 per year, or $55.2 per hour.

Director, Managed Care Analytics

University Health

San Antonio, TX

$40.87 - $91.35/hr

Full-time

Re-posted 6 days ago


University Of Nevada (Reno) rating

8.5

Company rating: 8.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

83rd of 622 rated colleges and universities


Job description

POSITION SUMMARY/RESPONSIBILITIES

The Director, Managed Care Analytics serves as the enterprise leader for payer analytics, contract modeling, and contract performance optimization. This role is responsible for developing advanced financial, statistical, and predictive models to support managed care contracting strategy, value-based care performance, and revenue optimization. The Director transforms traditional analytics into a modern, AI-augmented decision capability  leveraging automation, machine learning, and advanced data platforms to deliver predictive, prescriptive, and real-time insights across the payer lifecycle. This position collaborates cross-functionally with Patient Business Services, Revenue Integrity, Patient Access, Finance, clinical operations, and IT to ensure data integrity, actionable insights, and strategic alignment, and serves as a trusted advisor to the Vice President, Payer Relations. The Director also contributes to AI governance and the responsible use of data, ensuring transparency, compliance, and appropriate human oversight in analytic and decision-support processes.

EDUCATION/EXPERIENCE

Education

  • Required: Bachelor's Degree in Finance, Healthcare Administration, Data Analytics, Statistics, or a related field.
  • Preferred: Master's degree (MBA, MHA, Health Informatics, Data Science, or equivalent). Graduate-level preparation is strongly preferred for this enterprise analytics leadership role.

Experience

  • 8 or more years of progressive experience in healthcare analytics, decision support, or revenue cycle analytics.
  • 3 to 5 or more years in a leadership or management role.
  • Demonstrated experience leading payer contract modeling and supporting negotiation strategy.
  • Experience with value-based care and alternative payment models.
  • Experience building or modernizing analytics capabilities preferred.

Technical and Functional Expertise

  • Advanced proficiency in Excel and data modeling.
  • Advanced proficiency in BI tools such as Tableau.
  • Experience with healthcare data including claims, clinical records, and EHR data.
  • Experience with contract modeling tools and systems.
  • Working knowledge of AI applications in healthcare analytics.
  • Working knowledge of predictive modeling.

Domain Knowledge

  • Strong working knowledge of Medicare Advantage, Medicaid (including Texas programs), and commercial exchange products.
  • Strong knowledge of reimbursement methodologies and contract structures.
  • Familiarity with data integration challenges in healthcare.

LICENSURE

  • HFMA certification preferred.
  • Epic Resolute expected reimbursement certification required.

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