Remote Healthcare Data Analyst: AI-Driven Insights

Quest Analytics; Massachusetts; Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Remote/hybrid/onsite flexibility

401k Matching

Wellness benefits

Competitive salary and bonus

Job summary

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

The role requires strong SQL, Databricks, Python, and BI visualization skills, plus experience with data quality and governance. Flexible, remote/hybrid/work-from-office setup is available, with Massachusetts as a possible location.

Qualifications

• Bachelor's degree or equivalent in data analytics or related field.
• 3+ years of data analysis experience, preferably in healthcare or SaaS.
• Experience with large datasets and data investigations.
• Experience supporting product development or data quality initiatives.
• Proficiency in SQL (intermediate-advanced).

Responsibilities

• Conduct advanced data analysis on complex datasets to identify trends and deliver actionable insights.
• Translate findings into clear recommendations for internal stakeholders.
• Collaborate with Product, Engineering, Operations, and Client Services to develop data solutions.
• Lead data investigations to resolve data quality issues and support business initiatives.
• Develop metrics, KPIs, and analytical frameworks to support Quest products.

Skills

SQL

Databricks

Python

BI Visualization

AI tools

Data quality

Stakeholder communication

Education

Bachelor’s degree in Data Analytics / CS / Engineering

Tools

Databricks

Looker

Spark

Job description

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

The role requires strong SQL, Databricks, Python, and BI visualization skills, plus experience with data quality and governance. Flexible, remote/hybrid/work-from-office setup is available, with Massachusetts as a possible location.