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Strong Tier-1 employer, mid-level generalist role, and metro hybrid location make hiring highly competitive.
Requires patient-level healthcare, Hub/Specialty Pharmacy, and compliance expertise, limiting cross-industry transferability.
Explicit 5+ years, mandatory healthcare data experience, and specific tech stack make filters stringent.
Design, develop, and support scalable analytical data products across Patient Support Services, Specialty Pharmacy, Hub Enrollment, and Aggregator data ecosystems.
Translate requirements from product owners and analytics leads into robust data pipelines, models, and datasets to enable patient journey analytics including access, therapy initiation, adherence, and persistence.
Ensure data quality, governance, compliance, and AI readiness while collaborating across cross-functional teams within Agile frameworks.
Minimum 5 years of experience in analytics engineering, data engineering, healthcare analytics, or related fields.
Strong proficiency in SQL and Python; experience with cloud data platforms like Databricks, Snowflake, Azure, AWS, or Redshift.
Experience working with patient-level healthcare data sets related to Patient Support Services, Specialty Pharmacy, Hub, or Aggregator data.
VISA Sponsorship: No; Travel Requirements: Approximately 10%; Work Location: Hybrid; Work Experience Required: 5+ years.
Experienced in healthcare data ecosystems, particularly patient access, specialty pharmacy networks, and patient journey analytics.
Skilled in building enterprise-grade, compliant data products that support advanced analytics, reporting, and AI use cases in healthcare.
Comfortable operating in Agile environments and collaborating with multiple stakeholders including product owners, analytics teams, and business units.