Data Analyst, Network Analytics
Summary
Data Analyst on Quest Analytics' Provider Network Analytics team at a healthcare-tech company whose tools are used by 90% of US health plans. Day to day: analyzing large healthcare datasets (claims, provider directories, network files) with SQL, Python, and Databricks to measure network performance, resolve data-quality issues, and build metrics and KPIs.
What you'll do:
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Conduct advanced data analysis on complex datasets to identify trends, assess performance across campaigns, clients, and demographic segments, and deliver actionable insights
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Translate analytical findings into clear insights and recommendations that support internal stakeholders and cross-functional partners
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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
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Lead data investigations to resolve data quality issues and support business initiatives
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Partner cross-functionally with Product, Engineering, Operations, and Client Services to develop data solutions
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Use SQL, Databricks, Python, and AI tools (e.g., Claude) independently to process, analyze, and derive insights from large datasets
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Contribute to the evaluation and adoption of new technologies that advance analytics capabilities
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Maintain and contribute to data governance standards, ensuring high-quality, reliable, and compliant data assets
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Develop metrics, KPIs, and analytical frameworks to support Quest products
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Document and track project work, ensuring tasks are properly scoped and managed in systems such as DevOps
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Identify and recommend improvements to outreach strategies and data processes based on insights
What it requires:
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Bachelor’s degree in Data Analytics, Computer Science, Engineering, or a related field (or equivalent practical experience)
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3+ years of data analysis experience, preferably within healthcare, SaaS, or data-intensive environments
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Proven experience working with large, complex datasets and conducting in-depth data investigations
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Experience supporting product development, data quality initiatives, or analytics-driven business decisions
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Strong proficiency in SQL (intermediate to advanced) for data extraction, transformation, and analysis
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Hands-on experience with modern data platforms such as Databricks, Spark, or similar distributed data processing tools
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Proficiency in one or more programming languages such as Python, SQL, R, Scala, or Java
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Experience with BI and data visualization tools (e.g., Looker or similar platforms)
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Experience leveraging AI tools (e.g., Claude or similar platforms) to support data analysis, pattern recognition, anomaly detection, and workflow automation
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Ability to incorporate AI-assisted approaches into data investigations and reporting to improve efficiency and scalability
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Familiarity with emerging AI/ML concepts and their application in analytics and data quality improvement
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Strong understanding of data management best practices, including data quality, governance, and stewardship principles
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Experience defining and developing metrics, KPIs, and data models to support business and product needs
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Experience interacting with clients, vendors, and cross-functional stakeholders to understand requirements and deliver insights
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Excellent written and verbal communication skills, with the ability to present complex findings clearly
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Strong organizational skills and ability to manage multiple priorities
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Curiosity, adaptability, and a continuous learning mindset, particularly with evolving technologies and AI tools
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.
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 infosec@questanalytics.com. We appreciate your interest in working with us.
To learn more:
Skills
As published by lever · 13 questions · 1 written answer
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, Github URL, Portfolio URL, Other website
Short answers (1)
- What is your salary requirement for this type of role? (Number only please)
Pick from a list (11)
- Have you ever worked for a commercial Software technology company?
- Have you ever worked for a health insurance company?
- Have you ever worked for a healthcare company?
- This role requires US Citizenship or a Permanent Resident (Green Card) status. Do you currently hold either of these statuses?
- This role requires in-person attendance in Overland Park, KS for interviews, orientation, and quarterly meetings. Do you currently reside in the U.S. and can attend onsite as needed?
- Do you currently live in California, Hawaii, New Jersey, New York, Pennsylvania, Rhode Island, Washington, DC, Alaska, Washington or outside of the US?
- How many years of experience do you have in data analysis, with a focus on healthcare data?
- How much experience do you have with Databricks or Spark?
- How much experience do you have with Provider networks, health plan operations, or network adequacy standards?
- Which best describes your experience in SQL or Python?
- Which best describes your experience working with large healthcare claims datasets??
Written answers (1)
- If hired, what CITY and STATE will you be working in?
