General Notes

The Senior Data Analyst is a senior-level individual contributor responsible for leading complex data analytics initiatives that drive strategic decision-making across clinical, operational, and financial domains. This position is housed within the UT Data Core team and works directly with the Department of Women’s Health to support departmental projects, analytics initiatives, and data requests. The role partners closely with leadership, clinical program directors, faculty, staff, and cross-functional teams to deliver high-impact insights and data-driven solutions.

The Senior Data Analyst serves as a subject matter expert in healthcare data, advanced analytics, and data visualization, with expertise in extracting, integrating, analyzing, and interpreting data from electronic health records (EHRs) and other clinical and operational data sources. The position utilizes Viewpoint and other relevant data systems and reporting tools to fulfill complex data requests and support clinical, research, operational, and strategic initiatives within Women’s Health.

Responsibilities

Strategic Data Analysis and Modeling

Analyzes data using standard statistical tools, methods, and techniques; interprets results to identify significant differences and trends.
Leads the design and execution of advanced statistical models and predictive analytics.
Translates complex business problems into analytical frameworks.
Synthesizes, processes, and analyzes large datasets to uncover actionable insights.
Presents findings to senior leadership and governance committees.

Data Visualization

Develops and maintains dashboards and scorecards.
Standardizes KPIs and reporting methodologies across departments.
Automates enterprise-level reporting processes.
Ensures data visualizations are intuitive, accurate, and aligned with strategic goals.
Collaborates with IT to optimize reporting infrastructure.

Data Integration, Architecture and Standards

Develops and implements databases, data collection systems, and analytics strategies that optimize statistical efficiency and data quality.
Leads integration of disparate data sources including EHR, claims, financial, and operational systems.
Assists in defining, developing, and implementing data standards and data quality measures.
Conceptualizes, creates, and maintains operational and research data models for visualization and statistical analysis.
Establishes and maintains standard work procedures governing the appropriate use of data.

Stakeholder Leadership and Consultation

Serves as a trusted advisor to clinical and administrative leaders.
Consults with internal and external customers, including faculty and staff, to identify user needs and clarify data requirements.
Provides guidance and interpretation of complex systems and data.
Facilitates data strategy sessions and requirements gathering workshops.
Builds consensus around data definitions and usage.

Mentorship, Documentation, and Innovation

Mentors junior and mid-level analysts on technical and professional development.
Documents data analysis efforts, including data sources, reporting specifications, tools used, and issue resolutions.
Evaluates and pilots emerging analytics tools and methodologies.
Researches and stays up-to-date on new technologies and data analysis trends.
Leads analytics communities of practice and training sessions.
Contributes to scholarly activity.

Marginal or Periodic Functions

Participates in strategic planning and digital transformation initiatives.
Supports grant-funded research and academic collaborations.
Represents the organization at industry conferences and professional forums.
Leads post-implementation reviews of analytics projects.
Contributes to vendor evaluations and procurement of analytics tools.

Knowledge/Skills/Abilities

Strategic Agility

Aligns analytics with long-term organizational goals.
Anticipates data needs for emerging initiatives.
Advises leadership on strategic risks and opportunities.

Dealing with Ambiguity

Navigates unclear or evolving data requirements.
Makes sound decisions with incomplete information.
Adapts analysis to shifting priorities.

Influence

Builds consensus around data-driven decisions.
Communicates complex findings to diverse audiences.
Gains buy-in for analytics initiatives.

Technical Learning

Masters new analytics tools and platforms.
Applies advanced statistical and machine learning techniques.
Stays current with industry trends.

Innovation Management

Pilots new technologies for data processing, data generation (e.g. Synthetic), and analysis.
Encourages experimentation and learning.
Identifies opportunities for automation and AI.

Collaboration

Leads cross-functional analytics teams.
Shares knowledge and builds analytics capacity.
Supports enterprise-wide data initiatives.

Required Qualifications

Requires a Bachelor's Degree in Data Science, Public Health, Health Information Management, Statistics, Computer Science, or a related field with at least 5 year(s) 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.

Preferred Qualifications

Master's Degree in a quantitative or healthcare-related field with at least 7 year(s) of experience in a complex healthcare environment.

Licenses, Registrations or Certifications

Required:

None

Preferred:

Cloud Data Analytics Certification or equivalent cloud-based certification (Azure, Google, AWS).

Salary Range

$89,800 + depending on qualifications

Working Conditions

Standard office equipment
Repetitive use of a keyboard
May be exposed to such occupational hazards 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; you will be able to multi-select additional 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 for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to 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 presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

According to Executive Order No. GA-48 of the State of Texas: for all positions that research, work on, or have access to critical infrastructure as defined in Section 117.001(2), Business and Commerce Code, it is required that both candidates for employment and employees have the ability to maintain the security or integrity of the infrastructure.

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