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Quest Analytics, LLC
Quest Analytics, LLC
51 – 200 Employees
ConsultingHealthcareLogistics

Quest Analytics, LLC develops network management software and services for healthcare provider networks. Its cloud-based Quest Enterprise Services and Quest Analytics Suite help health systems, regulators, and payers manage provider data, assess network performance, support compliance, and evaluate network adequacy.

Founded in 1993, the company combines healthcare analytics and consulting expertise to improve the accuracy, efficiency, and accessibility of provider-network information across the United States. Its work supports organizations seeking to strengthen healthcare access and maintain reliable, high-quality provider networks.

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Data Analyst, Healthcare Network Analytics

Analyze healthcare data for Quest Analytics to improve provider network management. Develop metrics, data solutions, and AI-assisted insights to help optimize health plan networks.

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JavaPythonScalaSparkSQL

Description

  • Analyze complex datasets to identify trends and assess performance across campaigns, clients, and demographic groups, then deliver actionable findings.
  • Turn analytical results into clear insights and recommendations for internal teams and cross-functional partners.
  • Analyze healthcare provider and organization data to match entities across sources, set data sourcing strategies, define relationships and structures, and identify potential products and features.
  • Lead investigations into data quality issues and support business initiatives.
  • Work with Product, Engineering, Operations, and Client Services to build data solutions.
  • Process and analyze large datasets with SQL, Databricks, Python, and AI tools such as Claude.
  • Help evaluate and adopt technologies that strengthen analytics capabilities.
  • Maintain and help establish data governance standards.
  • Create metrics, KPIs, and analytical frameworks for Quest products.
  • Record and track project work in tools such as DevOps.
  • Recommend improvements to outreach strategies and data processes.
  • Advance health plan provider network analytics using claims, provider directory, and network data.

Requirements

  • Bachelor’s degree in Data Analytics, Computer Science, Engineering, or a related discipline, or equivalent practical experience.
  • At least 3 years of data analysis experience, preferably in healthcare, SaaS, or another data-intensive setting.
  • Demonstrated ability to work with large, complex datasets and conduct in-depth data investigations.
  • Experience supporting product development, data quality efforts, or analytics-led business decisions.
  • Intermediate to advanced SQL skills.
  • Practical experience with Databricks, Spark, or comparable distributed data processing tools.
  • Proficiency in one or more of Python, SQL, R, Scala, or Java.
  • Experience using BI and visualization tools such as Looker.
  • Experience applying AI tools such as Claude to analysis, pattern recognition, anomaly detection, or workflow automation.
  • Ability to use AI-assisted methods in data investigations and reporting.
  • Familiarity with emerging AI and machine learning concepts and their use in analytics and data quality improvement.
  • Strong knowledge of data management practices, including quality, governance, and stewardship.
  • Experience defining metrics, KPIs, and data models.
  • Experience working with clients, vendors, and cross-functional stakeholders.
  • Strong written and verbal communication skills.
  • Well organized and able to manage competing priorities.
  • Curious, adaptable, and committed to ongoing learning.
  • Must be legally authorized to work in the United States.
  • Visa sponsorship is not currently available.

Benefits

  • Choose a remote, hybrid, or office-based work arrangement.
  • Affordable employee medical, dental, and vision plans with low employee costs.
  • 401(k) matching.
  • Wellness benefits.
  • Competitive salary and a success-sharing bonus.
  • Flexible vacation, sick leave, and holidays.
  • Entrepreneurial culture with room to contribute beyond a defined job description.
  • A workplace where contributions are heard, valued, appreciated, and rewarded.
  • Work each day alongside a supportive group of colleagues.
  • Professional reference checks conducted through SkillSurvey.
  • Virtual interviews with cameras enabled.
  • Opportunities for personal growth.

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