IT Business Analyst (Healthcare Data Analytics)

About the role

This role is ideal for candidates who enjoy working with healthcare data, developing operational insights, and improving reporting through data analysis and automation.

Responsibilities

• Analyze pharmacy dispensing and fulfillment data to support operational decision-making.
• Develop, validate, and maintain operational metrics using multiple data sources.
• Improve reporting accuracy, automation, and overall data quality.
• Build and maintain operational dashboards and reports.
• Monitor key performance indicators (KPIs) and communicate insights to stakeholders.
• Support finance and operational reporting through consolidated data views.
• Perform data analysis using SQL, Excel, Python, and/or R.
• Identify trends, risks, and opportunities within operational data.
• Translate complex data into meaningful business recommendations.
• Aid in operational issue resolution through data-driven analysis.
• Handle Protected Health Information (PHI) in accordance with HIPAA regulations.
• Maintain compliance with covered-entity data governance policies.
• Ensure appropriate separation of manufacturer and covered-entity data.

Requirements

• Bachelor's degree in Business, Healthcare Administration, Data Science, Marketing, or a related field.
• 3-8 years of professional experience as a Business Analyst or Data Analyst.
• 1-3 years of experience working within a HIPAA-covered healthcare environment.
• Strong proficiency in: SQL, Microsoft Excel, Python, or R.
• Experience analyzing: Healthcare data, Pharmacy data, Claims or dispensing data.
• Knowledge of HIPAA regulations and PHI handling requirements.
• Strong analytical, troubleshooting, and problem-solving abilities.
• Excellent written and verbal communication skills.

Qualifications

• Strong analytical, troubleshooting, and problem-solving abilities.
• Excellent written and verbal communication skills.
• Strong attention to detail and ability to manage multiple priorities.
• Comfortable working in fast-paced, evolving business environments.

Skills

• SQL
• Microsoft Excel
• Python or R
• Data Analysis
• Data Modeling
• Statistical Programming
• Dashboard Development
• Operational Reporting
• KPI Development
• Healthcare Data Analytics
• HIPAA Compliance
• Pharmacy/Dispensing Data

Benefits

Hybrid work schedule (3 days onsite / 2 days remote)

Pay

Best competitive rate on w2

Schedule

Hybrid 3 days onsite and 2 days remote each week (Indianapolis, IN).