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Healthcare Claims - Senior Data Analyst

3 weeks, 2 days ago
United States
Full-time
Senior
Data Analyst
Data Science and Analytics
HIPAA Machine Learning NLP Python R SQL
Apply Now
EPIC Insurance Brokers & Consultants

EPIC Insurance Brokers & Consultants

EPIC Insurance Brokers & Consultants is a retail insurance brokerage and consulting firm that specializes in providing innovative property and casualty, as well as employee benefits solutions, to a diverse range of commercial and personal clients acros...

Insurance
1K-5K
Founded 2007
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Description

  • Develop and maintain predictive, statistical, and machine learning models for Artemetrx initiatives.
  • Analyze pharmacy, medical claims, and other healthcare data to identify trends, outliers, and cost or utilization opportunities.
  • Support AI roadmap initiatives and next-generation drug management tools.
  • Prepare, clean, transform, and validate data for analytics, reporting, dashboards, and model development.
  • Write reusable, testable analytical code and use SQL and Python to analyze complex datasets.
  • Maintain reference tables and product data used by Artemetrx.
  • Collaborate with clinicians, consultants, analysts, product teams, engineers, and other stakeholders to deliver actionable insights.
  • Document analytical methods, data definitions, model logic, assumptions, and results.
  • Communicate findings through written summaries, presentations, dashboards, and stakeholder discussions.
  • Stay current with healthcare analytics, machine learning, artificial intelligence, and pharmacy benefits management developments.

Requirements

  • At least 2 years of healthcare, pharmaceutical claims analytics, data science, or a related analytical experience.
  • Bachelor’s degree in data science, statistics, mathematics, computer science, or a related quantitative field; a master’s degree or relevant coursework is preferred.
  • Experience working with healthcare, pharmacy/PBM, medical claims, financial, or similarly complex datasets.
  • Strong SQL skills for data extraction, querying, and manipulation.
  • Proficiency in Python or R for data analysis, statistical modeling, machine learning, or automation.
  • Knowledge of statistics, predictive modeling, supervised and unsupervised learning, regression, classification, clustering, forecasting, and model evaluation.
  • Experience cleaning, validating, and analyzing raw data accurately.
  • Ability to translate business questions into analytical approaches and communicate results to technical and non-technical stakeholders.
  • Strong problem-solving, communication, collaboration, and independent-work skills; ability to manage multiple priorities.
  • Proficiency with Microsoft Office, willingness to travel up to 10%, and familiarity with healthcare privacy, governance, HIPAA, dashboards, or model deployment preferred.

Benefits

  • Remote work anywhere in the continental United States.
  • Base salary range of $110,000–$140,000, with potential bonus eligibility and a comprehensive benefits package.
  • Generous paid time off, 12 paid holidays, early-close days, and paid parental and other leave options.
  • Medical, dental, vision, 401(k) matching, wellness, and employee assistance programs.
  • Mentorship, tuition reimbursement, leadership development, and employee recognition programs.
  • Employee referral bonus of $1,500 per hired referral.
  • Additional benefits including pet insurance, identity theft protection, legal and family planning support, and employee resource groups.

Interested in this position?

Apply directly on the company website

Apply Now

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