Data Analyst II

The University of Texas
Austin, TX, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$70,252.0
Working hours
Regular working hours
Languages
English, Spanish

Tech stack

Data Analysis Health Informatics Computer Programming Information Engineering Data Governance Extract Transform Load (ETL) R (Programming Language) Health Information Management Python (Programming Language) Power BI SAS (Software) SQL Databases
+8 more
Tableau (Software) Electronic Medical Records Pandas Scikit Learn Information Technology Statistics Packages Data Analytics Operational Systems

Job description

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., 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., Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.

Requirements

  • 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., * Certified Health Data Analyst (CHDA).
  • Tableau Certified Data Analyst or Microsoft Power BI Data Analyst Associate.
  • SAS Certified Specialist or equivalent., A criminal history background check will be required for finalist(s) under consideration for this position., * E-Verify Poster (English and Spanish) [PDF]
  • Right to Work Poster (English) [PDF]
  • Right to Work Poster (Spanish) [PDF]

Benefits & conditions

$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.

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