Data Analyst, Network Analytics

Quest Analytics; Arkansas City (KS); Híbrido; USD 80.000 - 115.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote/hybrid/in-office flexibility

401k Matching

Wellness benefits

Competitive salary and bonus

Flexible vacation

Descripción de la vacante

Quest Analytics seeks a highly analytical Data Analyst to join the Provider Network Analytics team. You will work with large healthcare datasets to uncover trends, measure network performance, and support data-driven strategies for provider network optimization.

You will apply SQL, Databricks, Python, and AI tools to develop insights, ensure data quality, and drive analytics across campaigns, clients, and demographics. Flexible remote/hybrid/in-office options are available.

Formación

• Bachelor’s degree or equivalent practical experience.
• 3+ years of data analysis experience, preferably in healthcare, SaaS, or data-intensive environments.
• Experience with large, complex datasets and deep 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.
• Programming languages such as Python, SQL, R, Scala, or Java.
• Experience with BI and data visualization tools (e.g., Looker).
• Experience leveraging AI tools (Claude) to support analysis and automation.
• Ability to apply AI-assisted approaches to investigations and reporting.

Responsabilidades

• Conduct advanced data analysis on complex datasets to identify trends and measure performance.
• Translate findings into clear insights and recommendations for stakeholders.
• Analyze provider and organizational data to resolve entity matching and data structures.
• Lead data investigations to resolve quality issues and support business initiatives.
• Partner with Product, Engineering, Operations, and Client Services on data solutions.
• Use SQL, Databricks, Python, and AI tools to process and derive insights.
• Evaluate and adopt new technologies to advance analytics capabilities.
• Maintain data governance standards for reliable data assets.
• Develop metrics, KPIs, and analytical frameworks for Quest products.
• Document and track project work in systems like DevOps.
• Recommend improvements to outreach strategies and data processes.

Conocimientos

SQL

Databricks

Python

R

Scala

Java

BI tools

Looker

AI tools

Data governance

KPIs

stakeholder management

communication

organization

AI-assisted analytics

Educación

Bachelor’s degree in Data Analytics, Computer Science, Engineering, or related field

Herramientas

Databricks

Spark

Looker

Claude

Descripción del empleo

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!

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

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

Preferred work locations

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.

We are not currently engaging with outside agencies on this role.

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.

**Visa sponsorship is not available at this time.

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