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Data Analyst/Scientist IV - Qlarant
Data Analyst
Senior Data Analyst/Scientist leading advanced analytics for population health and fraud detection, leveraging Python, SQL, and machine learning to drive evidence‑based decision making and program optimization.
About the role
Key Responsibilities
- Design, develop, and maintain complex analytical models and dashboards to support population health, utilization review, and fraud detection initiatives.
- Extract, clean, and transform large datasets from multiple sources using SQL and Python, ensuring data integrity and compliance with privacy regulations.
- Apply statistical and machine learning techniques to identify trends, predict outcomes, and uncover actionable insights for program improvement.
- Collaborate with cross‑functional teams to translate analytical findings into clear, data‑driven recommendations for stakeholders.
- Document methodologies, create reproducible workflows, and mentor junior analysts on best practices in data science.
Requirements
- Advanced proficiency in Python (pandas, scikit‑learn, statsmodels) and SQL for data manipulation and analysis.
- Strong background in statistical analysis, predictive modeling, and machine learning.
- Experience building interactive visualizations and dashboards using Tableau or similar tools.
- Excellent communication skills with the ability to present complex findings to non‑technical audiences.
- Commitment to data privacy, security, and ethical use of health data.
Skills
pythonsqlmachine learningtableau