Senior Data Analyst, Healthcare Claims

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the creation and upkeep of predictive, statistical, and machine learning models tailored to business and client requirements across various Artemetrx projects.

• Examine pharmacy and medical claims data along with other healthcare datasets to uncover trends, patterns, outliers, and opportunities related to costs and utilization.

• Contribute to AI roadmap initiatives.

• Prepare, cleanse, transform, and validate datasets for analytics, reporting, dashboards, and model creation.

• Write clean, reusable, and testable analytical code following established standards, libraries, and modules of the data team.

• Manage reference tables and other datasets utilized within the Artemetrx product.

• Utilize SQL and Python to extract, manipulate, and analyze large and intricate datasets.

• Collaborate with consultants, clinicians, analysts, product teams, data engineers, and other stakeholders to clarify requirements and provide actionable insights.

• Document analytical methodologies, assumptions, data definitions, model logic, and outcomes.

• Present analytical findings and recommendations through written summaries, presentations, dashboards, and discussions with stakeholders.

• Keep abreast of advancements in healthcare analytics, data science, machine learning, artificial intelligence, and pharmacy benefits management.

⛳️ Requirements

• Minimum of 2+ years of experience in healthcare and/or pharmaceutical claims analytics.

• Strong proficiency in SQL for query writing.

• Experience with Python or R, specifically in building data analysis, machine learning, or forecasting models.

• Preferred 2+ years of experience in data science, analytics, statistics, healthcare analytics, informatics, or a related analytical capacity.

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field is required.

• Familiarity with healthcare data, pharmacy/PBM data, medical claims, financial data, or similarly complex datasets.

• Working knowledge of SQL for data extraction, querying, and manipulation.

• Proficiency in 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 in accurately preparing, cleaning, validating, and analyzing raw data.

• Ability to convert business inquiries into analytical strategies and convey results effectively.

• Strong problem-solving skills, intellectual curiosity, resourcefulness, and the ability to quickly learn new tools, methods, and healthcare concepts.

• Excellent written and verbal communication abilities.

• Capacity to collaborate with both technical and non-technical stakeholders.

• Capability to work independently and as part of a cross-functional team while managing multiple priorities and deadlines.

• Proficiency in Microsoft Excel, Word, Outlook, and PowerPoint.

• Willingness to travel up to 10%.

• Preferred qualifications include a master’s degree or relevant coursework; advanced Excel skills; expertise in 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; and model deployment processes.

🏝️ Benefits

• Potential for bonuses.

• 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 for each hired referral.

• Employee recognition programs, awards, and trips.

• Employee Resource Groups, including the Women’s Coalition and EPIC Veterans Group.

• Mentorship Program.

• Tuition Reimbursement Program.

• Leadership Development opportunities.

• Pet Insurance.

• Identity Theft & Fraud Protection Coverage.

• Legal Planning services.

• Family Planning support.

• Menopause & Midlife Support services.

• 401(k) matching.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Wellness and employee assistance programs.

• An inclusive work environment and a collaboration-focused 50/50 work culture.

• Charitable initiatives including Donation Connection, Employee Assistance Fund, and People First Foundation.