Data Analyst, Network Analytics

Quest Analytics; Manchester (NH); Remote; USD 70,000 - 110,000; Full time

Benefits offered by this job

Affordable medical, dental, vision

Competitive salary and bonus

Flexible vacation and holidays

Job summary

Quest Analytics is seeking a Data Analyst to join the Provider Network Analytics team. You will work with large-scale healthcare datasets, performing deep analysis to uncover trends and support data-driven strategies for network optimization.

The role emphasizes data quality, governance, and cross-functional collaboration with Product, Engineering, Operations, and Client Services to deliver actionable insights and scalable analytics solutions.

Qualifications

• Bachelor’s degree in Data Analytics, Computer Science, Engineering, or related field or equivalent practical experience.
• 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.
• 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.
• Curiosity, adaptability, and a continuous learning mindset, particularly with evolving technologies and AI tools.

Responsibilities

• Conduct advanced data analysis on complex datasets to identify trends, assess performance across campaigns, clients, and demographic segments, and deliver actionable insights.
• Analyze healthcare provider and organizational data to resolve entity matching across multiple data sources, determine data sourcing strategies, define entity relationships and data structures, and identify opportunities to leverage data in new products and features.
• Lead data investigations to resolve data quality issues and support business initiatives.
• Partner cross-functionally with Product, Engineering, Operations, and Client Services to develop data solutions.
• Use SQL, Databricks, Python, and AI tools to maintain and contribute to data governance standards, ensuring high-quality, reliable, and compliant data assets.
• Document and track project work, ensuring tasks are properly scoped and managed in systems such as DevOps.
• Identify and recommend improvements to outreach strategies and data processes based on insights.

Skills

SQL

Python

Data analysis

Healthcare data experience

BI tools

Data governance

Entity resolution

Education

Bachelor’s degree in Data Analytics/CS/Engineering

Tools

Databricks

Spark

Python

Looker

Claude AI

Job description

Your Quest: Help make a big difference in healthcare access

At Quest Analytics our team members can fulfill their quest to work in an innovative, collaborative, challenging and flexible environment supportive of personal growth every day. The team is driven to make healthcare more accessible for all Americans. Data Analyst to join our Provider Network Analytics team.

As a Data Analyst, you 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, including claims data, provider directory files, and provider network files, to uncover trends, measure network performance, and support the development of data-driven strategies for provider network optimization and improve network performance.

You will be responsible for identifying and quantifying network challenges, conducting deep analytical investigations, and applying structured data exploration to generate meaningful, context-rich insights. 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.

This role offers the opportunity to work on cutting-edge provider network analytics initiatives, drive efficiencies through automation, and apply critical thinking.

• Conduct advanced data analysis on complex datasets to identify trends, assess performance across campaigns, clients, and demographic segments, and deliver actionable insights
• Analyze healthcare provider and organizational data to resolve entity matching across multiple data sources, determine data sourcing strategies, define entity relationships and data structures, and identify opportunities to leverage data in new products and features
• Lead data investigations to resolve data quality issues and support business initiatives
• Partner cross-functionally with Product, Engineering, Operations, and Client Services to develop data solutions
• Use SQL, Databricks, Python, and AI tools (e.g., Maintain and contribute to data governance standards, ensuring high-quality, reliable, and compliant data assets
• Document and track project work, ensuring tasks are properly scoped and managed in systems such as DevOps
• Identify and recommend improvements to outreach strategies and data processes based on insights

• 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
• Curiosity, adaptability, and a continuous learning mindset, particularly with evolving technologies and AI tools

For more than 20 years, we’ve been improving provider network management one groundbreaking innovation at a time. 90% of America’s health plans use our tools, including the eight largest in the nation. Achieve your personal quest to build a great career here.

Workplace flexibility - you choose between remote, hybrid or in-office

• Affordable employee medical, dental and vision plans with low employee cost
• Competitive salary and success sharing bonus
• Flexible vacation, plus sick time and holidays

Recruiter Video Interview

Video Interview with the Hiring Manager

Professional Reference Checks via Skill Survey

Video Camera Usage Policy

Quest Analytics is a remote-first organization that values collaboration, communication, and engagement. To support a connected and productive work environment, candidates are expected to participate in all virtual interviews with their cameras enabled.

Video participation helps create a more interactive interview experience, allows for stronger communication and relationship-building, and supports our commitment to maintaining a secure hiring process. Camera usage also serves as an important safeguard against fraudulent applicants, identity misrepresentation, unauthorized participation, and other security risks that have become increasingly common in remote hiring environments.

Relocation Requirement

While many positions at Quest Analytics are remote, employees are expected to reside in and perform work from the location disclosed during the hiring process. Any relocation must be communicated to and approved by Quest Analytics in advance.

This policy helps ensure compliance with employment and tax regulations, protects company and client data, and reduces risks associated with unauthorized work arrangements and employment misrepresentation.

AI Tools

As part of our hiring process, Quest Analytics may use AI-assisted tools to help screen applications and support interview documentation, including resume-matching software and AI-generated interview summaries. If you have questions about our use of AI in hiring, please contact.

Quest Analytics provides equal employment opportunities to all people without regard to race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence