IT Business Analyst

Job Title

Pay Range $65.23hr - $70.23hr

Requirements/Must Have

• Bachelor's degree in business, marketing, healthcare administration, data science, or a related discipline.
• Proficiency in SQL, Excel, and at least one statistical programming language (Python/R).
• Familiarity with healthcare, pharmacy, or claims/dispensing operational data.
• 1–3 years of work experience in a HIPAA covered entity.
• Ability to complete and maintain all required data privacy, HIPAA, and covered-entity compliance training, and to handle protected health information (PHI) per established policies.

Responsibilities

• Support recreation, validation, and maintenance of operational metrics from platform usage and pharmacy fulfillment data to improve automation, accuracy, and quality.
• Ensure data availability, quality, and compliance across dispensing data workstreams.
• Create and deploy operational dashboards for consumption within the organization.
• Track and report performance metrics to inform stakeholders; ensure timely, accurate updates to reporting tools.
• Contribute to consolidated, cross-source dispensing/reporting views supporting filtering, grouping, and finance reporting needs.
• Conduct analyses using SQL and Excel to measure operational performance and surface trends or opportunities.
• Translate data into clear, actionable insights for internal stakeholders.
• Support issue resolution through data-driven problem-solving and cross-functional collaboration, including urgent operational challenges.
• Contribute to KPI and data-strategy documentation.
• Handle PHI and other sensitive data strictly per HIPAA, covered-entity policies, and established data-governance guidance.
• Respect manufacturer vs. covered-entity data-separation requirements, particularly around partner-level and patient-level data.

Nice to Have

• Strong analytical skills with attention to detail and business acumen.
• Excellent communication skills with the ability to simplify complex concepts.
• Ability to work cross-functionally and influence without direct authority.
• High learning agility and adaptability in ambiguous environments.
• Working understanding of HIPAA/PHI handling and data-governance constraints, including manufacturer vs. covered-entity data separation.