Expert Healthcare Data Analyst

18 hours ago

Dindigul, Tamil Nadu, India beBeeHealthcareDataScientist Full time ₹ 8,00,000 - ₹ 12,00,000
Freelance Healthcare Data Scientist

We are seeking a highly skilled Freelance Data Scientist with expertise in SQL, Python, and healthcare claims/provider data. This is an exciting opportunity to leverage analytical expertise and domain knowledge to uncover insights, build predictive models, and support data-driven decision-making in the healthcare space.

About the Role

The ideal consultant will extract, clean, and analyze large-scale claims and provider datasets, developing and optimizing SQL queries, stored procedures, and ETL scripts for data extraction and transformation. They will apply statistical methods and machine learning techniques (Python – Pandas, NumPy, Scikit-learn) to generate actionable insights and build dashboards, reports, and visualizations (Tableau, Power BI, or similar) to communicate findings.

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.

What We Offer

A competitive compensation package, flexible work arrangements, and opportunities for professional growth and development. If you are a motivated and detail-oriented individual with a passion for data analysis, we encourage you to apply.

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