Remote Healthcare Data Analyst – Provider Network Insights

Quest Analytics; Iowa City (IA); Hybride; USD 85 000 - 125 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Success sharing bonus

Flexible vacation

Medical, dental & vision plans

Résumé du poste

Quest Analytics is seeking a Data Analyst to join the Provider Network Analytics team. You will work with large healthcare datasets—claims data, provider directory files, and network files—to uncover trends, measure performance, and support data-driven network optimization strategies.

The role emphasizes data quality, cross-functional collaboration with Product, Engineering, Operations, and Client Services, and the use of SQL, Databricks, Python, and AI tools to drive automation and scalable

Qualifications

• Bachelor’s degree in Data Analytics, CS, Engineering, or a related field (or equivalent practical experience)
• 3+ years of data analysis experience, preferably within healthcare, SaaS, or data-intensive environments
• Proven experience working with large, complex datasets and conducting in-depth data investigations
• Experience supporting product development, data quality initiatives, or analytics-driven business decisions
• Strong proficiency in SQL (intermediate to advanced) for data extraction, transformation, and analysis
• Hands-on experience with modern data platforms such as Databricks, Spark, or similar distributed data processing tools
• Proficiency in one or more programming languages such as Python, SQL, R, Scala, or Java
• Experience with BI and data visualization tools (e.g., Looker or similar platforms)
• Experience leveraging AI tools (e.g., Claude or similar platforms) to support data analysis, pattern recognition, anomaly detection, and workflow automation
• Ability to incorporate AI-assisted approaches into data investigations and reporting to improve efficiency and scalability
• Familiarity with emerging AI/ML concepts and their application in analytics and data quality improvement
• Strong understanding of data management best practices, including data quality, governance, and stewardship principles
• Experience defining and developing metrics, KPIs, and data models to support business and product needs
• Curiosity, adaptability, and a continuous learning mindset, particularly with evolving technologies and AI tools

Responsabilités

• Conduct advanced data analysis on complex datasets to identify trends, assess performance across campaigns, clients, and demographic segments, and deliver actionable insights
• Analyze healthcare provider and organizational data to resolve entity matching across multiple data sources, determine data sourcing strategies, define entity relationships and data structures, and identify opportunities to leverage data in new products and features
• Lead data investigations to resolve data quality issues and support business initiatives
• Partner cross-functionally with Product, Engineering, Operations, and Client Services to develop data solutions
• Use SQL, Databricks, Python, and AI tools (e.g., Maintain and contribute to data governance standards, ensuring high-quality, reliable, and compliant data assets
• Document and track project work, ensuring tasks are properly scoped and managed in systems such as DevOps
• Identify and recommend improvements to outreach strategies and data processes based on insights

Connaissances

SQL proficiency

Analytical thinking

Problem solving

Cross-functional collaboration

Formation

Bachelor's degree in Data Analytics, CS, Engineering, or related field

Outils

Databricks

Spark

Looker

Python

R

Java

Description du poste

Quest Analytics is seeking a Data Analyst to join the Provider Network Analytics team. You will work with large healthcare datasets—claims data, provider directory files, and network files—to uncover trends, measure performance, and support data-driven network optimization strategies.

The role emphasizes data quality, cross-functional collaboration with Product, Engineering, Operations, and Client Services, and the use of SQL, Databricks, Python, and AI tools to drive automation and scalable