
Senior Healthcare Analytics Specialist
1 day ago
Thriving in the realm of healthcare analytics, a seasoned Freelance Data Scientist is sought after to unravel complex data sets and reveal actionable insights.
We are on the hunt for an analytical rockstar with expertise in SQL, Python, and healthcare claims/provider data. The ideal candidate will leverage technical prowess and domain knowledge to extract meaningful trends, 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 valuable predictions.
- Build informative 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.
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