Healthcare Data Analyst: Remote, Impactful Network Insights

Quest Analytics; Orangeburg (SC); Hybrid; USD 65,000 - 95,000; Full time

Benefits offered by this job

Remote or Hybrid work options

Affordable medical, dental, vision

Competitive salary + bonus

Flexible vacation + holidays

Job summary

Quest Analytics is seeking a Data Analyst to join our Provider Network Analytics team. You will work with large healthcare datasets (claims, provider directories) to uncover trends, measure network performance, and support data-driven strategies for provider network optimization.

You will identify data quality issues, analyze data across campaigns and demographics, and collaborate with Product, Engineering, Operations, and Client Services to develop data solutions.

Qualifications

• Bachelor’s degree in Data Analytics, Computer Science, 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 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.

Responsibilities

• 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 to 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.

Skills

SQL

Databricks

Python

AI tools

Looker

Education

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

Tools

Databricks

Spark

Python

SQL

Looker

Job description

Quest Analytics is seeking a Data Analyst to join our Provider Network Analytics team. You will work with large healthcare datasets (claims, provider directories) to uncover trends, measure network performance, and support data-driven strategies for provider network optimization.

You will identify data quality issues, analyze data across campaigns and demographics, and collaborate with Product, Engineering, Operations, and Client Services to develop data solutions.