Senior Data Analyst
Analytica
- San Antonio, TX
- Permanent
- Full-time
- Demonstrate experience working with military or veteran healthcare systems (e.g., DHA, VA), with a deep understanding of healthcare data, regulatory compliance, and mission-driven care delivery.
- Conduct ETL, exploratory data analysis (EDA), data wrangling to develop and present innovative ML algorithms to enhance healthcare system and collaboration.
- Apply ML techniques and time series for predictive analytics to support faster and more accurate healthcare outcomes.
- Design, develop, deploy NLP and AI/ML models incorporating unit testing, performance validation, and post-deployment monitoring to ensure reliability and scalability.
- Develop interactive, user-friendly dashboards and visualizations in Python, Power BI, and/or Tableau to support real-time healthcare analytics and decision-making.
- Work with clinical and operational stakeholders to gather requirements and translate them into meaningful, data-driven visual solutions.
- Enhance user engagement with dynamic, drill-through capabilities and actionable insights embedded within dashboards.
- Execute thorough quality control procedures to ensure high reliability, data integrity, and optimized performance of ML algorithms and dashboard solutions
- Produce clear and comprehensive documentation, including business requirements, technical specifications, and user training materials tailored to AI/ML and dashboard solutions.
- Develop presentation materials (e.g., PowerPoint summaries, technical briefs) to support algorithm approval processes and facilitate stakeholder communication.
- Maintain versioned documentation to support compliance, reproducibility, and knowledge transfer across teams.
- Bachelor’s or master’s degree in data science, data analytics, statistics, computer science, health policy, or public health.
- Must be able to maintain a Secret security clearance.
- 7+ years of experience in health data and analytics
- Proficiency in SQL Skills
- Strong knowledge of statistical programming concepts and best practices.
- Experience with machine learning development, including creating training/testing sets, validation sets, target definition, and algorithm evaluation criteria.
- Hands-on experience building ML algorithms such as regularized regression, random forest, XGBoost, and neural networks.
- Experience delivering analytic dashboard products (Tableau and/or Power BI) is required.
- Demonstrated experience with SQL development, including writing queries, procedures, and performing query optimization.
- Proven ability to investigate, report, and justify algorithm results, and present insights in the context of organizational business challenges.
- Excellent written and verbal communication skills; able to convey technical concepts to a wide range of audiences and maintain effective interpersonal relationships.
- Ability to manage multiple tasks within time constraints and meet critical deadlines.