Data Analyst, Network Analytics

Quest Analytics•Overland Park, KS

21h

About The Position

Quest Analytics is seeking a highly analytical and technically skilled Data Analyst to join its Provider Network Analytics team. The role advances the intelligence and precision of health plan network analytics by working with large-scale healthcare datasets, including claims data, provider directory files, and provider network files. The analyst uncovers trends, measures network performance, and supports data-driven strategies for provider network optimization and improved performance. The position identifies and quantifies network challenges, conducts in-depth analytical investigations, and applies structured data exploration to produce meaningful, context-rich insights. It offers the opportunity to contribute to provider network analytics initiatives, drive efficiencies through automation, and use critical thinking to solve complex problems in healthcare delivery. Quest Analytics offers remote, hybrid, or in-office workplace options. The preferred work locations are in the states listed in the posting. Employees are expected to reside and work from the location disclosed during hiring, and relocations require advance approval. Visa sponsorship is unavailable, and applicants must be legally authorized to work in the United States.

Requirements

Bachelor’s degree in Data Analytics, Computer Science, Engineering, or a related field, or equivalent practical experience.
At least 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 business decisions.
Intermediate-to-advanced SQL proficiency 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 one or more programming languages such as Python, SQL, R, Scala, or Java.
Experience with BI and data visualization tools such as Looker or similar platforms.
Experience using AI tools such as Claude or similar platforms for data analysis, pattern recognition, anomaly detection, and workflow automation.
Ability to incorporate AI-assisted approaches into 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 for business and product needs.
Experience interacting with clients, vendors, and cross-functional stakeholders to understand requirements and deliver insights.
Excellent written and verbal communication skills, including the ability to clearly present complex findings.
Strong organizational skills and ability to manage multiple priorities.
Curiosity, adaptability, and a continuous learning mindset, particularly regarding evolving technologies and AI tools.
Must be legally authorized to work in the United States; employment eligibility will be verified at hire.

Responsibilities

Conduct advanced analysis of complex datasets to identify trends, assess performance across campaigns, clients, and demographic segments, and deliver actionable insights.
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, determine sourcing strategies, define entity relationships and data structures, and identify opportunities for new products and features.
Lead data investigations to resolve data quality issues and support business initiatives.
Partner with Product, Engineering, Operations, and Client Services to develop data solutions.
Use SQL, Databricks, Python, and AI tools such as Claude to process and analyze large datasets and derive insights.
Contribute to evaluating and adopting technologies that advance analytics capabilities.
Maintain and contribute to data governance standards to ensure high-quality, reliable, and compliant data assets.
Develop metrics, KPIs, and analytical frameworks to support Quest products.
Document and track project work, ensuring tasks are scoped and managed in systems such as DevOps.
Identify and recommend improvements to outreach strategies and data processes based on insights.