Healthcare Data Analyst - Remote, AI-Driven Insights

Quest Analytics; Saint Paul (MN); Hybrid; USD 85,000 - 120,000; Full time

Benefits offered by this job

Flexible work arrangement

401k Matching

Wellness benefits

Competitive salary with bonus

Flexible vacation and holidays

Entrepreneurial culture

Job summary

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

The role emphasizes data quality, automation, and cross-functional collaboration across Product, Engineering, Operations, and Client Services. You’ll use SQL, Databricks, Python, and AI tools (Claude) to process and derive insights,

Qualifications

• Bachelor’s degree or equivalent practical experience in data analytics, CS, engineering, or related field.
• 3+ years of data analysis experience, preferably in healthcare, SaaS, or data-intensive environments.
• Experience working with large, complex datasets and conducting in-depth data investigations.
• Experience supporting product development, data quality initiatives, or analytics-driven decisions.

Responsibilities

• Conduct advanced data analysis on complex datasets to identify trends and insights across campaigns, clients, and demographic segments.
• Translate analytical findings into clear insights and recommendations for internal stakeholders and cross-functional partners.
• Analyze healthcare provider and organizational data to resolve entity matching across data sources and define data structures.

Skills

SQL

Databricks

Python

AI tools

Looker

Education

Bachelor’s degree in Data Analytics

Tools

Databricks

Spark

Job description

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

The role emphasizes data quality, automation, and cross-functional collaboration across Product, Engineering, Operations, and Client Services. You’ll use SQL, Databricks, Python, and AI tools (Claude) to process and derive insights,