Quest Analytics is seeking a Data Analyst to help make healthcare more accessible for all Americans by advancing the intelligence and precision of health plan network analytics. The role will focus on uncovering trends, measuring network performance, and supporting data-driven strategies for provider network optimization.
Requirements
- Proficiency in Excel and programming using SQL or Python
- Demonstrated experience working with large datasets, including healthcare claims data
- Strong understanding of technology, data manipulation tools, and data governance best practices
- Ability to ask thoughtful, logical questions, pursue root cause analysis, and apply critical thinking
- Experience with Databricks
- Experience with Power BI, data visualization best practices, and dashboard optimization
- Strong understanding of healthcare data and industry regulations
Responsibilities
- Acquire and ingest relevant data sets, including claims data and provider network files.
- Implement robust data cleansing procedures to ensure data accuracy and consistency.
- Enhance datasets by integrating additional relevant information.
- Analyze complex datasets using a variety of tools, with a particular emphasis on SQL, Excel, and Databricks.
- Apply critical thinking and analytical curiosity to investigate data patterns, ask thoughtful and logical questions, explore root causes, and deliver context-driven insights that enhance understanding of business and can inform strategic decisions related to network design.
- Develop insightful and visually compelling reports using Power BI.
- Effectively communicate findings to internal teams and external stakeholders.
Other
- Minimum of 2-3 years of experience in data analysis, with a strong preference for healthcare-related work
- Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or a related field; candidates with other degrees may be considered with relevant data analysis experience
- Strong analytical curiosity and a desire to understand the "why" behind the data
- Proven ability to translate technical findings into clear, actionable business insights
- Excellent problem-solving, listening, troubleshooting, and communication skills (both written and verbal)
