Data Analyst, Network Analytics

Quest Analytics; Bismarck (ND); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Workplace flexibility

401k Matching

Wellness benefits

Competitive salary

Job summary

Quest Analytics is seeking a Data Analyst to advance provider network analytics. You will work with large healthcare datasets (claims, directory, provider networks) to uncover trends and support data-driven strategies for network optimization.

You will analyze data quality, lead investigations, and collaborate with Product, Engineering, Operations, and Client Services to develop data solutions using SQL, Databricks, Python, and AI tools.

Qualifications

• Bachelor’s degree in Data Analytics, CS, Engineering, or related field (or equivalent practical experience).
• 3+ years of data analysis experience, preferably in healthcare/SaaS/data-intensive environments.
• Experience with large complex datasets and data investigations.
• Experience supporting product development, data quality initiatives, or analytics-driven decisions.
• Strong SQL skills (intermediate to advanced).
• Experience with modern data platforms like Databricks or Spark.
• Proficiency in Python, SQL, R, Scala, or Java.
• Experience with BI/data visualization tools (Looker or similar).
• Experience leveraging AI tools (e.g., Claude) for analysis and automation.
• Knowledge of data governance, quality, and stewardship principles.

Responsibilities

• Conduct advanced data analysis on complex datasets to identify trends and deliver actionable insights.
• Translate findings into clear recommendations for internal stakeholders.
• Analyze provider/network data to resolve entity matching and data structures.
• Lead data investigations to resolve data quality issues and support initiatives.
• Collaborate with Product, Engineering, Operations, and Client Services to develop data solutions.
• Utilize SQL, Databricks, Python, and AI tools to process and analyze large datasets.
• Evaluate new technologies to advance analytics capabilities.
• Maintain data governance standards and ensure high-quality, compliant data assets.
• Develop metrics, KPIs, and analytical frameworks for Quest products.
• Document and track project work in systems such as DevOps.
• Identify improvements to outreach strategies and data processes.

Skills

SQL

Databricks

Python

Looker

AI tools

Data governance

KPIs

Data quality

Education

Bachelor's degree in Data Analytics/CS/Engineering

Tools

Databricks

Spark

Looker

Claude

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. 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.

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

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

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

• 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.

**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

Any job posting displayed on websites other than questanalytics.com or jobs.lever.co/questanalytics/ may be out of date, inaccurate and unavailable

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