Senior Data Analyst

Senior-level individual contributor role focused on advanced healthcare analytics and strategic decision support across clinical, operational, and financial domains.

Responsibilities

• Analyze data using standard statistical tools, methods, and techniques; interpret results to identify significant differences and trends.
• Design and execute advanced statistical models and predictive analytics.
• Translate complex business problems into analytical frameworks.
• Synthesize, process, and analyze large datasets to uncover actionable insights.
• Present findings to senior leadership and governance committees.
• Develop and maintain dashboards and scorecards.
• Standardize KPIs and reporting methodologies across departments.
• Automate enterprise-level reporting processes.
• Create data visualizations that are intuitive, accurate, and aligned with strategic goals.
• Collaborate with IT to optimize reporting infrastructure.
• Develop and implement databases, data collection systems, and analytics strategies to improve statistical efficiency and data quality.
• Lead integration of disparate data sources, including EHR, claims, financial, and operational systems.
• Assist in defining, developing, and implementing data standards and data quality measures.
• Conceptualize, create, and maintain operational and research data models for visualization and statistical analysis.
• Establish and maintain standard work procedures governing appropriate use of data.
• Serve as a trusted advisor to clinical and administrative leaders.
• Consult with internal and external customers (faculty and staff) to identify user needs and clarify data requirements.
• Provide guidance and interpretation of complex systems and data.
• Facilitate data strategy sessions and requirements gathering workshops; build consensus around data definitions and usage.
• Mentor junior and mid-level analysts through technical and professional development.
• Document data analysis efforts, including data sources, reporting specifications, tools used, and issue resolutions.
• Evaluate and pilot emerging analytics tools and methodologies; research and stay current with new technologies and data analysis trends.
• Lead analytics communities of practice and training sessions.
• Contribute to scholarly activity; participate in strategic planning and digital transformation initiatives.
• Support grant-funded research and academic collaborations; represent the organization at industry conferences and professional forums.
• Lead post-implementation reviews of analytics projects.
• Contribute to vendor evaluations and procurement of analytics tools.
• Align analytics with long-term organizational goals; anticipate data needs for emerging initiatives.
• Advise leadership on strategic risks and opportunities; navigate unclear or evolving data requirements.
• Make sound decisions with incomplete information; adapt analysis to shifting priorities.
• Support data-driven decision-making by gaining buy-in for analytics initiatives; communicate complex findings to diverse audiences.
• Master new analytics tools and platforms; apply advanced statistical and machine learning techniques.
• Pilot new technologies for data processing, data generation (e.g., Synthetic), and analysis; encourage experimentation and learning.
• Identify opportunities for automation and AI.
• Lead cross-functional analytics teams; share knowledge and build analytics capacity.
• Support enterprise-wide data initiatives.

Requirements

• Bachelor’s degree in Data Science, Public Health, Health Information Management, Statistics, Computer Science, or a related field with at least 5 years of experience in healthcare analytics or data science.
• Skilled in large-scale data analysis, data processing, and data technology.
• Skilled with one or more industry data models and standards (e.g., OMOP, FHIR, DICOM).
• Experience with advanced analytics tools, data visualizations, and cloud data environments (e.g., Azure, Google AWS).
• Relevant education may substitute for experience on a year-for-year basis.

Technologies

• Viewpoint
• OMOP
• FHIR
• DICOM
• Azure
• Google AWS

Preferred Qualifications

• Master’s degree in a quantitative or healthcare-related field with at least 7 years of experience in a complex healthcare environment.

Licenses, Certifications

• Required: None
• Preferred: Cloud Data Analytics Certification or equivalent cloud-based certification (Azure, Google, AWS)

Location

• Austin, TX (onsite)

Salary

• USD 89,800 per year, plus additional amount depending on qualifications

Working Conditions

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

Required Application Materials

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

Application Instructions

• Applicants not currently employed by the university or contingent workers: you will be prompted to submit your resume the first time you apply; for subsequent applications, you can upload a new Resume.
• Additional required materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you can multi-select additional files.
• Before submitting, ensure all required materials have been uploaded.
• After submission, you cannot make changes.
• Current university employees or contingent workers: you MUST apply within Workday by searching for “Find UT Jobs”.
• Current university employees: log in to Workday, navigate to your Worker Profile, click the Career link, and update your Professional Profile before applying.
• The application is one page and you will be prompted to upload your resume.
• You must respond to application questions to upload additional required materials (letter of interest, references, etc.).

Texas Executive Order (GA-48)

• For positions that research, work on, or have access to critical infrastructure as defined in Section 117.001(2), Business and Commerce Code, both candidates and employees must have the ability to maintain the security or integrity of the infrastructure.