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Senior Healthcare Data Analyst
2 weeks ago
The ideal candidate will leverage analytical expertise and domain knowledge to uncover insights, build predictive models, and support data-driven decision-making in the healthcare space.
Key Responsibilities:
- Extract, clean, and analyze large-scale claims and provider datasets.
- Develop and optimize SQL queries, stored procedures, and ETL scripts for data extraction and transformation.
- Apply statistical methods and machine learning techniques (Python – Pandas, NumPy, Scikit-learn) to generate actionable insights.
- Build dashboards, reports, and visualizations (Tableau, Power BI, or similar) to communicate findings.
- Collaborate with business and technical stakeholders to define requirements and ensure data accuracy.
- Identify trends, anomalies, and opportunities in healthcare data to support operational and strategic initiatives.
- Maintain clear documentation of processes, methodologies, and data definitions for transparency and reproducibility.
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.
- Proven hands-on experience working with healthcare claims and provider data.
- Advanced SQL expertise (data manipulation, aggregation, performance tuning).
- Strong Python skills with libraries such as Pandas, NumPy, and Scikit-learn.
- Proficiency with data visualization tools (e.g., Tableau, Power BI).
- Familiarity with healthcare data standards (HIPAA, ICD, CPT, NPI) is a strong plus.
- Excellent problem-solving and communication skills, with ability to work in fast-paced environments.
