Data Analyst, Network Analytics

Quest Analytics, LLC

. Conduct advanced data analysis on complex datasets to identify trends, assess performance across campaigns, clients, and demographic segments, and deliver actionable insights .

Posted 10/22/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced data analysis, leveraging SQL, Python, and AI tools to derive actionable insights from complex datasets. Proficient in data governance, metrics development, and collaboration with cross-functional teams to enhance analytics capabilities in healthcare environments.

Highest-signal resume keywords

Advanced Data AnalysisSQL ProficiencyPython ProgrammingData Governance StandardsHealthcare Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisSQLPythonDatabricksSparkRScalaJavaMetrics DevelopmentData Visualization

Soft Skills

Excellent Communication SkillsStrong Organizational SkillsCuriosityAdaptabilityContinuous Learning Mindset

Tools & Technologies

DatabricksLookerAI ToolsClaudeDevOps

Industry Keywords

HealthcareSaaSData QualityData GovernanceEntity Matching

Tech Stack

Tools & technologies

JavaPythonScalaSparkSQL

About the role

Key responsibilities & impact

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 for 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 for new products and features
Lead data investigations to resolve data quality issues and support business initiatives
Partner with Product, Engineering, Operations, and Client Services to develop data solutions
Use SQL, Databricks, Python, and AI tools such as Claude to process and analyze large datasets
Contribute to evaluating and adopting technologies that advance analytics capabilities
Maintain and contribute to data governance standards
Develop metrics, KPIs, and analytical frameworks to support Quest products
Document and track project work in systems such as DevOps
Identify and recommend improvements to outreach strategies and data processes
Advance health plan provider network analytics using claims, provider directory, and provider network data

Requirements

What you’ll need

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)
Hands-on experience with Databricks, Spark, or similar distributed data processing tools
Proficiency in Python, SQL, R, Scala, or Java
Experience with BI and data visualization tools such as Looker
Experience leveraging AI tools such as Claude for data analysis, pattern recognition, anomaly detection, and workflow automation
Ability to incorporate AI-assisted approaches into data investigations and reporting
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
Experience interacting with clients, vendors, and cross-functional stakeholders
Excellent written and verbal communication skills
Strong organizational skills and ability to manage multiple priorities
Curiosity, adaptability, and a continuous learning mindset
Applicants must be legally authorized to work in the United States
Visa sponsorship is not available at this time

Benefits

Comp & perks

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
Professional reference checks via Skill Survey
Camera-enabled virtual interviews
Personal growth opportunities