Senior Data Analyst

Voluntary Protection Programs Participants' Association, Inc.; Austin (TX); On-site; USD 81,000 - 99,000; Full time

Job summary

Voluntary Protection Programs Participants' Association, Inc. seeks a Senior Data Analyst to lead analytics initiatives across clinical, operational, and financial domains.

This senior IC will work within UT Data Core, partnering with Women's Health leadership to deliver high-impact insights and data-driven solutions. The role emphasizes expertise in healthcare data, advanced analytics, and data visualization, handling data from EHRs and other clinical sources to fulfill complex requests and

Qualifications

• Bachelor's degree in data science, public health, health information management, statistics, computer science, or related field.

Responsibilities

• Analyze data using standard statistical methods and interpret results.
• Design and execute advanced statistical models and predictive analytics.
• Translate business problems into analytic frameworks.
• Synthesize large datasets to uncover actionable insights.
• Present findings to senior leadership.
• Develop dashboards and scorecards.
• Standardize KPIs and reporting methodologies.
• Automate enterprise reporting.
• Ensure intuitive, accurate visualizations.
• Collaborate with IT to optimize reporting.
• Develop databases and data collection systems.
• Lead integration of EHR, claims, financial, and operational data.
• Define data standards and quality measures.
• Create data models for visualization and analysis.
• Maintain standard data governance procedures.
• Advise clinical and administrative leaders.
• Consult with faculty and staff to identify data needs.
• Provide guidance on complex systems.
• Facilitate data strategy sessions.
• Build consensus on data definitions.
• Mentor junior analysts.
• Document data analysis work.
• Evaluate emerging analytics tools.
• Research new technologies.
• Lead analytics communities.
• Contribute to scholarly activity.
• Participate in strategic planning.
• Support grant-funded research.
• Represent at conferences.
• Lead post-implementation reviews.
• Contribute to vendor evaluations.

Skills

Healthcare analytics

Data visualization

Advanced analytics

Cloud data environments

OMOP

Education

Bachelor's degree in Data Science or related field

Tools

Azure

Google Cloud

AWS

Job description

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

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.