Remote Healthcare Data Analyst: Provider Network Insights

Quest Analytics; Helena (MT); Híbrido; USD 90.000 - 115.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

401k Matching

Wellness benefits

Flexible vacation

Competitive salary + bonus

Descripción de la vacante

Quest Analytics is seeking a data‑driven Data Analyst to advance provider network analytics. You will work with large healthcare datasets (claims, directories) to uncover trends, measure performance, and support data‑driven strategies for network optimization.

Collaborate with product, engineering, and client services while leveraging SQL, Databricks, Python, and AI tools. You will build metrics, KPIs, and data models; ensure data quality; and support data governance and automation initiatives

Formación

• Bachelor’s degree or equivalent practical experience in data analytics or related field.
• 3+ years of data analysis experience, preferably in healthcare, SaaS, or data-intensive environments.
• Experience with large, complex datasets and data investigations.

Responsabilidades

• Conduct advanced data analysis on complex datasets and deliver actionable insights across campaigns, clients, and demographics.
• Translate findings into clear insights and recommendations for internal stakeholders.
• Identify data quality issues and lead data governance and data quality initiatives.

Conocimientos

SQL

Databricks

Python

AI tools

Looker/BI tools

Data governance

KPIs & metrics

Data modeling

Communication

Problem solving

Educación

Bachelor’s degree in Data Analytics/CS/Engineering

Herramientas

Databricks

Spark

Looker

Descripción del empleo

Quest Analytics is seeking a data‑driven Data Analyst to advance provider network analytics. You will work with large healthcare datasets (claims, directories) to uncover trends, measure performance, and support data‑driven strategies for network optimization.

Collaborate with product, engineering, and client services while leveraging SQL, Databricks, Python, and AI tools. You will build metrics, KPIs, and data models; ensure data quality; and support data governance and automation initiatives