Senior Data Analyst, Healthcare Claims

EPIC Insurance Brokers & Consultants

. Support the development and maintenance of predictive, statistical, and machine learning models for business and client needs across Artemetrx initiatives .

Posted 9/22/2026full-timeRemote • United StatesSenior💰 $110,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in healthcare analytics, statistical modeling, and machine learning, with proficiency in SQL and Python for data manipulation and analysis. Capable of translating complex data into actionable insights while collaborating effectively with diverse stakeholders.

Highest-signal resume keywords

Healthcare Analytics ExperienceSQL ProficiencyPython or R for Data AnalysisStatistical Modeling and Machine LearningData Preparation and Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonRStatistical ModelingPredictive ModelingData AnalysisMachine LearningData CleaningData ValidationForecasting

Soft Skills

Problem-SolvingIntellectual CuriosityResourcefulnessWritten CommunicationVerbal Communication

Tools & Technologies

Microsoft ExcelMicrosoft WordMicrosoft OutlookMicrosoft PowerPointDashboardsReporting Automation

Industry Keywords

Healthcare DataPharmacy Benefits ManagementClaims AnalyticsData GovernanceHIPAAAnomaly DetectionAI-Enabled ReportingData PrivacyClinical AnalyticsUtilization Management

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Support the development and maintenance of predictive, statistical, and machine learning models for business and client needs across Artemetrx initiatives
Analyze pharmacy and medical claims data and other healthcare data sets to identify trends, patterns, outliers, and cost/utilization opportunities
Assist with AI roadmap initiatives
Prepare, clean, transform, and validate data sets for analytics, reporting, dashboards, and model development
Develop clean, reusable, and testable analytical code using established data team standards, libraries, and modules
Maintain reference tables and other data sets used within the Artemetrx product
Use SQL and Python to extract, manipulate, and analyze large and complex data sets
Collaborate with consultants, clinicians, analysts, product teams, data engineers, and other stakeholders to define requirements and deliver actionable insights
Document analytical methods, assumptions, data definitions, model logic, and results
Communicate analytical findings and recommendations through written summaries, presentations, dashboards, and stakeholder discussions
Stay current with healthcare analytics, data science, machine learning, artificial intelligence, and pharmacy benefits management developments

Requirements

What you’ll need

At least 2+ years of healthcare and/or pharmaceutical claims analytics experience
Strong experience using SQL to write queries
Python or R experience, including building data analysis, machine learning, or forecasting models
2+ years of experience in data science, analytics, statistics, healthcare analytics, informatics, or a related analytical role preferred
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline required
Experience working with healthcare data, pharmacy/PBM data, medical claims, financial data, or similarly complex data sets
Working knowledge of SQL for data extraction, querying, and data manipulation
Proficiency with Python or R for data analysis, statistical modeling, machine learning, or automation
Foundational understanding of statistics, predictive modeling, supervised and unsupervised learning, regression, classification, clustering, forecasting, and model evaluation techniques
Experience preparing, cleaning, validating, and analyzing raw data accurately
Ability to translate business questions into analytical approaches and communicate results clearly
Strong problem-solving skills, intellectual curiosity, resourcefulness, and ability to learn new tools, methods, and healthcare concepts quickly
Strong written and verbal communication skills
Ability to collaborate with technical and non-technical stakeholders
Ability to work independently and as part of a cross-functional team while managing multiple priorities and deadlines
Proficiency with Microsoft Excel, Word, Outlook, and PowerPoint
Ability to travel up to 10%
Preferred: master’s degree or relevant coursework; advanced Excel; healthcare cost, utilization, clinical, pharmacy, PBM, or drug management analytics; predictive modeling; time-series forecasting; claims analytics; anomaly detection; natural language processing; AI-enabled reporting; data privacy; data governance; HIPAA; secure handling of sensitive healthcare information; dashboards; reporting automation; reusable analytical workflows; model deployment processes

Benefits

Comp & perks

Bonuses may be available
Generous paid time off
Managed PTO for salaried/exempt employees
12 company-observed paid holidays
4 early-close days
Paid parental leave
Pregnancy disability and bonding leave
Organ donor/bone marrow donor leave
$1,500 employee referral bonus per hired referral
Employee recognition programs, awards, and trips
Employee Resource Groups, including Women’s Coalition and EPIC Veterans Group
Mentorship Program
Tuition Reimbursement Program
Leadership Development
Pet Insurance
Identity Theft & Fraud Protection Coverage
Legal Planning
Family Planning
Menopause & Midlife Support
401(k) matching
Medical insurance
Dental insurance
Vision insurance
Wellness and employee assistance programs
Inclusive work environment and collaboration-focused 50/50 work culture
Charitable initiatives including Donation Connection, Employee Assistance Fund, and People First Foundation