
Freelance Healthcare Data Analyst
1 day ago
Transform Your Career as a Freelance Data Scientist in Healthcare Claims
A seasoned Data Scientist with expertise in extracting, analyzing, and interpreting large-scale claims and provider datasets is sought after to uncover actionable insights and drive strategic initiatives in the healthcare space.
Main Responsibilities:
- Extract and Transform Data: Cleanse, analyze, and extract valuable information from complex claims and provider data sets.
- Develop Advanced SQL Queries: Optimize SQL queries, stored procedures, and ETL scripts for efficient data extraction and transformation.
- Apply Statistical Methods and Machine Learning Techniques: Utilize Python libraries such as Pandas, NumPy, and Scikit-learn to build predictive models and generate insights.
- Visualize Findings: Create informative dashboards, reports, and visualizations using Tableau or Power BI to communicate findings effectively.
- Collaborate with Stakeholders: Work closely with business and technical stakeholders to define project requirements and ensure data accuracy.
- Identify Trends and Opportunities: Analyze healthcare data to identify trends, anomalies, and opportunities to support operational and strategic initiatives.
- Maintain Documentation: Document processes, methodologies, and data definitions for transparency and reproducibility.
Requirements:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.
- Proven experience working with healthcare claims and provider data.
- Advanced SQL skills with expertise in data manipulation, aggregation, and performance tuning.
- Strong Python skills with libraries such as Pandas, NumPy, and Scikit-learn.
- Familiarity with healthcare data standards (HIPAA, ICD, CPT, NPI) is beneficial.
- Excellent problem-solving and communication skills with ability to work in fast-paced environments.
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