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Utaustin

Data Analyst II

UT MAIN CAMPUS

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hirly's read of this role

Seniority
Mid level
Stated salary
$70,252 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
25 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Job Posting Title:

Data Analyst II ----

Hiring Department:

Dell Medical School ----

Position Open To:

All Applicants ----

Weekly Scheduled Hours:

40 ----

FLSA Status:

Exempt from FLSA ----

Earliest Start Date:

Immediately ----

Position Duration:

Expected to Continue ----

Location:

UT MAIN CAMPUS ----

Job Details:

General Notes

The Data Analyst II is a mid-level data analytics professional responsible for conducting complex analyses that support clinical, operational, and strategic initiatives across the healthcare system. This position collaborates with clinical leaders, IT, finance, and quality teams to deliver actionable insights and support performance improvement, population health, and regulatory compliance efforts.

The role combines advanced analytics, programming, data engineering, visualization, stakeholder consultation, and data governance while contributing to projects and mentoring junior analysts.

Purpose

The Data Analyst II conducts complex data analyses to support clinical, operational, and strategic initiatives across the healthcare system. Reporting to a Manager or Director of Data Analytics or Business Intelligence, this role collaborates with clinical leaders, IT, finance, and quality teams to deliver actionable insights.

The position serves as a key contributor to performance improvement, population health, and regulatory compliance efforts while managing projects, mentoring junior analysts, and developing advanced dashboards and statistical models.

Responsibilities

Advanced Analysis and Coding

  • Write robust, reproducible code in Python or R to analyze structured and unstructured healthcare data.
  • Apply predictive modeling and trend analysis techniques using appropriate libraries, such as pandas, statsmodels, scikit-learn, and tidyverse.
  • Automate complex reporting logic for efficiency.

Data Engineering and Management

  • Develop and maintain data pipelines and ETL jobs using SQL, Python, or integrated tools.
  • Integrate data from diverse platforms, including EHR, financial, and operational systems.
  • Understand and contribute to source-target data models and schemas.

Visualization and Storytelling

  • Build advanced dashboards with parameterized filtering, user interactivity, and metric drill-downs.
  • Deliver high-quality analysis under tight deadlines.
  • Design self-service reporting tools and train end users in BI tool usage.
  • Follow through on stakeholder requests.
  • Prioritize work based on impact.

Consultation and Communication

  • Function as a data liaison for clinical, operational, and IT teams.
  • Communicate findings clearly to non-technical audiences.
  • Help stakeholders define business questions in terms of data queries and models.
  • Build trust with clinical and administrative partners.
  • Navigate organizational dynamics effectively.

Mentorship and Governance

  • Mentor junior analysts in code standards and data best practices.
  • Learn new tools and platforms independently.
  • Participate in shaping data standards and contribute to enterprise data documentation.
  • Apply new techniques to improve analysis.
  • Stay current with analytics trends.

Collaboration

  • Share knowledge and tools with peers.
  • Participate in team-based problem solving.
  • Support cross-functional initiatives.

Required Qualifications

  • Bachelor’s degree in Data Science, Public Health, Health Information Management, Statistics, Computer Science, or a related field.
  • Minimum of three years of relevant experience in data analysis, reporting, or healthcare analytics.

Relevant education may substitute for experience on a year-for-year basis.

Preferred Qualifications

  • Master’s degree in a quantitative or healthcare-related field.
  • Five or more years of experience in a healthcare setting using EHR, claims, or quality data.
  • Experience with SQL, Python, R, Tableau, Power BI, or SAS.

Licenses/Registrations/Certifications

Required

None.

Preferred

  • Certified Health Data Analyst (CHDA).
  • Tableau Certified Data Analyst or Microsoft Power BI Data Analyst Associate.
  • SAS Certified Specialist or equivalent.

Salary Range

$70,252+ depending on qualifications

Working Conditions

  • Standard office equipment.
  • Repetitive use of a keyboard.
  • May be exposed to occupational hazards such as communicable diseases, blood borne pathogens, ionizing and non-ionizing radiation, hazardous medications, and disoriented or combative patients, or others.

Required Materials

  • Resume/CV
  • 3 work references with their contact information; at least one reference should be from a supervisor
  • Letter of interest

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section, where you may upload multiple files. Before submitting your online job application, ensure that all Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.

Important for Current University employees and contingent workers: As a current university employee or contingent worker, you must apply within Workday by searching Find UT Jobs . Log in to Workday, navigate to your Worker Profile, click the Career link in the left-hand navigation menu, and update the sections in your Professional Profile before applying. This information will be pulled into your application. The application is one page, and you will be prompted to upload your resume. In addition, you must respond to the application questions to upload any additional Required Materials noted above.

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Employment Eligibility:

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. ----

Retirement Plan Eligibility:

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. ----

Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer , complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

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Employment Eligibility Verification:

If hired, you will be required to comple

Original posting on Utaustin's site ↗

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