Data Analyst II

UNIVERSITY OF TEXAS AT AUSTIN

Austin, TXJobSeen 5 days agoSeen in employer's feed 5 days ago

Austin, TXJobNo compensation foundSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation

No compensation found

Location

Austin, TX

Work Authorization

Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Data Analyst II analyzes structured and unstructured healthcare data, builds and maintains data pipelines, and develops interactive dashboards and self-service reporting tools. The role partners with clinical, operational, and IT teams to define data questions, communicate findings, and support cross-functional initiatives. It also includes mentoring junior analysts and contributing to data standards and enterprise documentation.

Skills & qualifications

RequiredNice to have

Skills

PythonRPredictive ModelingTrend AnalysisPandasStatsmodelsScikit-LearnTidyverseData PipelinesETLSQLData ModelingDashboard DevelopmentBusiness Intelligence ToolsData AnalysisStakeholder CommunicationMentoringData GovernanceCross-Functional Collaboration

Full job description

Advanced Analysis and CodingWrite robust, reproducible code in Python or R to analyze structured and unstructured healthcare data.Apply predictive modeling and trend analysis techniques using appropriate libraries, such as pandas, statsmodels, scikit-learn, and tidyverse.Automate complex reporting logic for efficiency.Data Engineering and ManagementDevelop and maintain data pipelines and ETL jobs using SQL, Python, or integrated tools.Integrate data from diverse platforms, including EHR, financial, and operational systems.Understand and contribute to source-target data models and schemas.Visualization and StorytellingBuild advanced dashboards with parameterized filtering, user interactivity, and metric drill-downs.Deliver high-quality analysis under tight deadlines.Design self-service reporting tools and train end users in BI tool usage.Follow through on stakeholder requests.Prioritize work based on impact.Consultation and CommunicationFunction as a data liaison for clinical, operational, and IT teams.Communicate findings clearly to non-technical audiences.Help stakeholders define business questions in terms of data queries and models.Build trust with clinical and administrative partners.Navigate organizational dynamics effectively.Mentorship and GovernanceMentor junior analysts in code standards and data best practices.Learn new tools and platforms independently.Participate in shaping data standards and contribute to enterprise data documentation.Apply new techniques to improve analysis.Stay current with analytics trends.CollaborationShare knowledge and tools with peers.Participate in team-based problem solving.Support cross-functional initiatives.

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