Senior Data Analyst

University of Texas at Austin Staff; Austin (TX); On-site; USD 81,000 - 99,000; Full time

Job summary

The Senior Data Analyst at University of Texas at Austin partners with the Department of Women’s Health to drive data-driven decision making. This senior contributor leads analytics initiatives across clinical, operational, and financial domains, and works with leadership to translate complex data into actionable insights.

Responsibilities include building dashboards, standardizing KPIs, and guiding data integration from multiple sources.

Qualifications

• Requires a Bachelor's Degree in Data Science, Public Health, Health Information Management, Statistics, Computer Science or related field.
• Minimum 5 years of experience in healthcare analytics or data science.

Responsibilities

• Lead complex data analytics initiatives across clinical, operational and financial domains.
• Develop dashboards and standardized KPIs; automate reporting.
• Integrate data from EHRs, claims, financial and operations systems.
• Present findings to senior leadership and governance committees.
• Mentor junior analysts and document methodologies.

Skills

Data analysis

Statistical modeling

Healthcare analytics

Data visualization

Dashboarding

SQL

Education

Bachelor's degree in Data Science/Public Health/Health Information Management/Statistics/Computer Science

Tools

Viewpoint

Job description

Job Posting Title: Senior Data Analyst

Hiring Department: Department of Women's Health

Position Open To: All Applicants

Weekly Scheduled Hours: 40

FLSA Status: Exempt from FLSA

Earliest Start Date: Immediately

Position Duration: Expected to Continue

Location: AUSTIN, TX

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.

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Employment Eligibility:

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.

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Retirement Plan Eligibility:

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.

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Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

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Employment Eligibility Verification:

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.

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E-Verify:

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

• E-Verify Poster (English and Spanish) [PDF]
• Right to Work Poster (English) [PDF]
• Right to Work Poster (Spanish) [PDF]

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Compliance:

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.

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.