Senior Data Analyst

Strategic Data Analysis and Modeling Partners with senior leadership, stakeholders, and cross-functional teams to evaluate business needs, support strategic planning, identify opportunities, and resolve complex challenges.Performs advanced analyses of data and system architectures; delivers expert consultation, interpretation, and presentation of insights related to complex data environments and system constraints.Analyzes data; interprets results to identify significant differences and trends.Leads the design and execution of advanced data driven models.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 programs to evaluate effectiveness, impact and improvement.Ensures data visualizations are intuitive, accurate, and aligned with strategic goals.Data Integration, Architecture and Standards Oversees development and implementation of 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 Provides technical leadership, guidance, and mentorship to data analysts and data management technicians, fostering a collaborative and high-performing work environment.Coordinates work activities, supports goal alignment, and monitors project progress to ensure timely and successful completion.Contributes to onboarding, training, and professional development initiatives for team members. Provides guidance and coordination to data analysts, technicians, and student assistants. 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.Other duties as identified by departmentMARGINAL OR PERIODIC FUNCTIONS:Participates in strategic planning and digital transformation initiatives.Supports grant-fundedprograms .Represents the organization at professional forums.Leads post-implementation reviews of analytics projects.Contributes to vendor evaluations and procurement of analytics tools.KNOWLEDGE/SKILLS/ABILITIESStrategic AgilityAligns analytics with long-term organizational goals.Anticipates data needs for emerging initiatives.Advises leadership on strategic risks and opportunities.Dealing with AmbiguityNavigates unclear or evolving data requirements.Makes sound decisions with incomplete information.Adapts analysis to shifting priorities.InfluenceBuilds consensus around data-driven decisions.Communicates complex findings to diverse audiences.Gains buy-in for analytics initiatives.Technical LearningMasters new analytics tools and platforms.Applies advanced statistical and machine learning techniques.Stays current with industry trends.Innovation ManagementPilots new technologies for data processing, data gener tion (e.g. Synthetic), and analysisEncourages experimentation and learning.Identifies opportunities for automation and AI.CollaborationLeads cross-functional analytics teams.Shares knowledge and builds analytics capacity.Supports enterprise-wide data initiatives.EDUCATION and EXPERIENCEMINIMUM QUALIFICATIONS:Requires a Bachelor's Degree in Data Science, Health Information Management, Statistics, Computer Science, or a related field with at least 5 year(s) of experience in healthcare analytics/data science within complex organizational environments or a Masters Degree in a related field with 3 years of relevant experience.Demonstrated experience leading analytics work, managing priorities, and influencing outcomes across cross-functional stakeholders is required.Skilled in large scale data analysis, data processing and data technology.Experience with advanced analytics tools, data visualizations, and cloud data environmentsRelevant education may substitute for experience on a year-for-year basis.Demonstrated ability to solve problems, leverage critical thinking skills, manage conflict, make decisions independently, and ability to solve problems.High degree of sensitivity to stakeholder needs. Excellent communication, tactical and strategic planning, and supervisory skills are required.Relevant education and experience may be substituted as appropriate.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.Proficiency with student support and case management tools, including TRAYT, and EMR including Athena/EPIC is desired.Experience providing guidance or day-to-day coordination to junior staff or support roles.Proficiency in REDCap database design, survey development, and data management.LICENSES, REGISTRATIONS OR CERTIFICATIONSREQUIRED:NonePREFERRED:Cloud Data Analytics Certification or equivalent cloud-based certification (Azure, Google, AWS)Salary Range$90,000+ depending on qualificationsWORKING ENVIRONMENT/EQUIPMENTStandard office equipmentRepetitive use of a keyboardMay 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 MaterialsResume/CV3 work references with their contact information; at least one reference should be from a supervisorLetter of interestImportantfor 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 thatALLRequired 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 questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.