Data Analyst, Network Analytics

Quest Analytics • Overland Park, KS

3d

About The Position

Quest Analytics is seeking a highly analytical and technically skilled Data Analyst to join its Provider Network Analytics team. The role supports health plan network analytics by working with large-scale healthcare datasets, including claims, provider directory, and provider network files. The analyst identifies and quantifies network challenges, investigates data issues, measures network performance, and produces context-rich insights to support provider network optimization and improved performance.

The position uses SQL, Databricks, Python, and AI tools to analyze data, develop metrics and analytical frameworks, support data governance, and contribute to product and process improvements. The analyst collaborates with Product, Engineering, Operations, Client Services, and other stakeholders, and documents and tracks project work. Quest Analytics offers a choice of remote, hybrid, or in-office work; employees must reside and work from the location disclosed during hiring, and relocation requires advance approval. Preferred work locations are in the states listed in the posting. Visa sponsorship is unavailable.

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.
• Proven 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 proficiency in SQL for data extraction, transformation, and analysis.
• Hands-on experience with Databricks, Spark, or similar distributed data processing tools.
• Proficiency in at least one programming language 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 analysis, pattern recognition, anomaly detection, and workflow automation.
• Ability to incorporate AI-assisted approaches into data investigations and reporting to improve efficiency and scalability.
• Familiarity with emerging AI/ML concepts and their application to analytics and data quality improvement.
• Understanding of data management best practices, including data quality, governance, and stewardship.
• Experience defining and developing metrics, KPIs, and data models to support 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 present complex findings clearly.
• 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 verification is required at hire.
• Candidates are expected to participate in virtual interviews with cameras enabled.

Nice To Haves

• Experience in healthcare, SaaS, or other data-intensive environments.
• Experience with Looker or similar BI and data visualization platforms.
• Familiarity with emerging AI/ML concepts and their application in analytics and data quality improvement.

Responsibilities

• Conduct advanced analysis of complex datasets to identify trends and assess performance 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 sources, determine data sourcing strategies, define entity relationships and data structures, and identify potential uses of data in 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 the evaluation and adoption of technologies that advance analytics capabilities.
• Maintain and contribute to data governance standards and help ensure data assets are high-quality, reliable, and compliant.
• 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 analytical insights.

Benefits

• Affordable employee medical, dental, and vision plans with low employee cost.
• 401(k) matching.
• Wellness benefits.
• Competitive salary and success-sharing bonus.
• Flexible vacation, sick time, and holidays.
• Workplace flexibility, with a choice of remote, hybrid, or in-office work.
• An entrepreneurial culture that encourages contributions beyond a defined job description.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level