
Freelance Healthcare Data Analyst
1 day ago
Job Overview
We are seeking a skilled Freelance Data Scientist to work with large-scale healthcare claims and provider datasets. The ideal consultant 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 using advanced SQL skills.
- 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 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.
Required Skills and 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.
Benefits:
This role offers an opportunity to work with a dynamic team, leveraging your expertise to drive business growth and improvement.
Others:
Please submit your resume and a cover letter highlighting your relevant experience and qualifications.
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