U

University of Texas at Austin

Public research university in Austin, TX

Senior Data Analyst

Full-Time
$89.8k
Senior
Bachelor's
Austin, TX, USA
In Person
Data & AnalyticsData Science
Company Does Not Provide H1B Sponsorship

About the job

Requirements
  • A Bachelor's degree in Data Science, Public Health, Health Information Management, Statistics, Computer Science, or a related field, and at least five years of experience in healthcare analytics or data science; relevant education may substitute for experience on a year-for-year basis.
  • Skill in large-scale data analysis, data processing, and data technology.
  • Skill with one or more industry data models and standards, such as OMOP, FHIR, or DICOM.
  • Experience with advanced analytics tools, data visualizations, and cloud data environments such as Azure, Google Cloud, or AWS.
Responsibilities
  • Analyze data using standard statistical tools, methods, and techniques, and interpret results to identify significant differences and trends.
  • Lead the design and execution of 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.
  • Ensure data visualizations 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 that optimize 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 the appropriate use of data.
  • Serve as a trusted advisor to clinical and administrative leaders.
  • Consult with internal and external customers, including 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 on 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 up-to-date on 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.
Desired Qualifications
  • A Master's degree in a quantitative or healthcare-related field and at least seven years of experience in a complex healthcare environment.
  • Cloud Data Analytics Certification or an equivalent cloud-based certification, such as Azure, Google Cloud, or AWS.

About the company

U

University of Texas at Austin

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University of Texas at Austin is a public research university in Austin, Texas. It offers undergraduate, graduate, and professional education across a broad range of fields.

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