Data Analyst, Network Analytics

Role Overview

The Data Analyst, Network Analytics will play a key role in advancing the intelligence and precision of health plan network analytics. This position focuses on working directly with large-scale healthcare datasets to uncover trends, measure network performance, and support the development of data-driven strategies for provider network optimization and improve network performance.

What You Will Do

Conduct advanced data analysis on 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 that support internal stakeholders and cross-functional partners.

Why It Might Be a Fit

This role requires a strong command of data tools, rigorous attention to data quality, and a passion for using data and analytics to solve complex problems in healthcare delivery. The ideal candidate will have a strong understanding of data management best practices, including data quality, governance, and stewardship principles.

Requirements

• Bachelor’s degree in Data Analytics, Computer Science, Engineering, or a related field (or equivalent practical experience)
• 3+ years of data analysis experience, preferably within 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
• Strong proficiency in SQL (intermediate to advanced) 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 (e.g., Looker or similar platforms)
• Experience leveraging AI tools (e.g., Claude or similar platforms) to support data 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 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 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, with the ability to present complex findings clearly
• Strong organizational skills and ability to manage multiple priorities
• Curiosity, adaptability, and a continuous learning mindset, particularly with evolving technologies and AI tools

Benefits

• Workplace flexibility – you choose between remote, hybrid or in-office
• Affordable employee medical, dental and vision plans with low employee cost
• 401k Matching
• Wellness benefits
• Competitive salary and success sharing bonus
• Flexible vacation, plus sick time and holidays
• An entrepreneurial culture that won’t limit you to a job description
• Being listened to, valued, appreciated — and having your contributions rewarded
• Enjoying your work each day with a great group of people

Tagged as: Data Analysis