Data Analyst, Network Analytics

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. We are seeking a highly analytical and technically skilled

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. If you are passionate about data, analytics, and problem-solving, we encourage you to apply! \n

What you'll 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

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., Claude) independently to process, analyze, and derive insights from large datasets

Contribute to the evaluation and adoption of new technologies that advance analytics capabilities

Maintain and contribute to data governance standards, ensuring 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 properly scoped and managed in systems such as DevOps

Identify and recommend improvements to outreach strategies and data processes based on insights

What it requires:

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

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We are not currently engaging with outside agencies on this role. About Quest Analytics 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. What you’ll appreciate: •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 Apply TODAY! careers.questanalytics.com Next Steps After you apply, you will receive an email confirming receipt of your application. If your background and experience align with our needs, a member of the Quest Analytics Talent Acquisition team will contact you regarding next steps in the process. Candidates will receive communication throughout the interview process regarding their status and progression. Interview Process The interview process may vary by role but typically includes:

Recruiter Video Interview Video Interview with the Hiring Manager Team and/or Panel Interview(s) Role-Specific Assessment, Presentation, or Case Study (if applicable) Professional Reference Checks via Skill Survey Final Interview with Executive Leadership

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. Candidates who are unable or unwilling to participate on camera during the interview process may not be considered for employment. 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. These tools inform but do not replace human judgment; all hiring decisions are made by Quest Analytics team members. If you have questions about our use of AI in hiring, please contact . **Visa sponsorship is not available at this time. Preferred work locations are

within one of the following states: Alabama, Arizona, Arkansas, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, or Wyoming. 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. We are committed to creating and maintaining a workforce environment that is free from any form of discriminations or harassment. Applicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence NOTE:

Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly. We are not currently working with additional outside agencies at this time. Any job posting displayed on websites other than questanalytics.com or jobs.lever.co/questanalytics/ may be out of date, inaccurate and unavailable RECRUITMENT FRAUD ALERT

We understand that some individuals have recently been impersonating recruiters from Quest Analytics® and soliciting fake job opportunities. We urge you not to disclose any personal or financial information to them. We use only our official website ( email domain (@questanalytics.com), and verified social media accounts to communicate with candidates. If you suspect fraudulent behavior, please report it to us at . We appreciate your interest in working with us. To learn more: