Your Quest: Help make a big difference in healthcare access At Quest Analytics our team members can fulfill their quest to work in an innovative, collaborative, challenging and flexible environment supportive of personal growth every day. The team is driven to make healthcare more accessible for all Americans. We are looking for a Senior Data Analyst specializing in health plan network analytics to join our team. As a Senior Data Analyst, you will play a key role in advancing the intelligence and precision of health plan network analytics. This position focuses on working directly with large-scale healthcare datasets—including claims data, provider directory files, and provider network files—to uncover trends, measure network performance, and support the development of data-driven strategies for provider network optimization and improve network performance. You will be responsible for identifying and quantifying network challenges, conducting deep analytical investigations, and applying structured data exploration to generate meaningful, context-rich insights. This role requires a strong command of data tools, rigorous attention to data quality, and a passion for using data and analytics to solve complex problems in healthcare delivery. Ideal candidates are curious, methodical, and driven by a desire to understand the “why” behind the data. Success in this role depends on your ability to work independently with complex data inputs, apply critical thinking, and continually refine methods for extracting value from provider network-related datasets. #LI-Remote In this role you will: Data Ingestion and Cleansing : Acquire and ingest relevant data sets, including claims data and provider network files. Implement robust data cleansing procedures to ensure data accuracy and consistency. Data Enrichment and Analysis: 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. Results Dissemination: Develop insightful and visually compelling reports using Power BI. Effectively communicate findings to internal teams and external stakeholders. Collaborate with cross-functional teams to ensure alignment of data analysis with business objectives. Continuous Learning and Innovation: Stay abreast of industry trends, regulations, and technological advancements. Continuously explore novel approaches and methodologies to address healthcare network challenges. Contribute to the development of cutting-edge solutions that differentiate our company in the market. This role requires: Required Qualifications: Minimum of 5 years of experience in data analysis, with a strong preference for healthcare-related work Demonstrated experience working with large datasets, including healthcare claims data Proficiency in Excel Proficiency in programming using SQL or Python 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 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) Ability to work both independently and as part of a cross-functional team Passion for contributing in a fast-paced, growth-oriented, and deadline-driven environment Strong understanding of healthcare data and industry regulations Preferred Qualifications: Experience with Databricks and Spark Understanding of provider networks, health plan operations, or network adequacy standards Experience with Power BI, data visualization best practices, and dashboard optimization What you’ll appreciate:
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