Data Analyst II
About The Position
The Data Analyst II is a mid-level data analytics professional responsible for conducting complex analyses that support clinical, operational, and strategic initiatives across the healthcare system. This position collaborates with clinical leaders, IT, finance, and quality teams to deliver actionable insights and support performance improvement, population health, and regulatory compliance efforts. The role combines advanced analytics, programming, data engineering, visualization, stakeholder consultation, and data governance while contributing to projects and mentoring junior analysts. Purpose The Data Analyst II conducts complex data analyses to support clinical, operational, and strategic initiatives across the healthcare system. Reporting to a Manager or Director of Data Analytics or Business Intelligence, this role collaborates with clinical leaders, IT, finance, and quality teams to deliver actionable insights. The position serves as a key contributor to performance improvement, population health, and regulatory compliance efforts while managing projects, mentoring junior analysts, and developing advanced dashboards and statistical models.
Requirements
- Bachelor’s degree in Data Science, Public Health, Health Information Management, Statistics, Computer Science, or a related field.
- Minimum of three years of relevant experience in data analysis, reporting, or healthcare analytics.
- Relevant education may substitute for experience on a year-for-year basis.
Nice To Haves
- Master’s degree in a quantitative or healthcare-related field.
- Five or more years of experience in a healthcare setting using EHR, claims, or quality data.
- Experience with SQL, Python, R, Tableau, Power BI, or SAS.
- Certified Health Data Analyst (CHDA).
- Tableau Certified Data Analyst or Microsoft Power BI Data Analyst Associate.
- SAS Certified Specialist or equivalent.
Responsibilities
- Write 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.
- Develop 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.
- Build 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.
- Function 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.
- Mentor 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.
- Share knowledge and tools with peers.
- Participate in team-based problem solving.
- Support cross-functional initiatives.
Benefits
- Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
