Specialist, Analytics Engineer

· Enable analytics across the pre- and post-prescription patient journey, including enrollment, benefits verification, prior authorization, therapy initiation, dispense and fulfillment, adherence, persistence, and patient support program engagement.

· Support datasets and measures that provide insight into patient access barriers, enrollment-to-treatment conversion, time to therapy, therapy progression, abandonment, discontinuation, and patient retention.

· Experience on working with data designing and integrations for Affordability (Copay/PAP/Bridge, Quick Start) and Adherence (Nurse Navigator, Digital Platforms)

· Develop working knowledge of Hub, Specialty Pharmacy, Aggregator, claims, and patient services data, including source-specific limitations, business rules, and reconciliation needs.

· Partner with analytics and business teams to define and standardize patient journey milestones, KPIs, cohorts, and business definitions.

• Ensure data products are developed with governance, privacy, compliance, quality, lineage, and documentation by design.
• Perform data profiling, validation, reconciliation, and root-cause analysis across Hub, Specialty Pharmacy, Aggregator, and related patient-level data sources.
• Ensure data products are trusted, scalable, reusable, and fit for analytical and AI-driven consumption.
• Collaborate with cross-functional product squads and communicate data risks, dependencies, and delivery progress clearly to technical and non-technical stakeholders.
• Work within Agile delivery frameworks and contribute to backlog refinement, estimation, testing, release readiness, and continuous improvement.
• sessions, and capability enablement.

• 5+ years of relevant experience in analytics engineering, data engineering, healthcare analytics, or a related discipline, preferably within the pharmaceutical, biotechnology, healthcare, or patient services industry.
• Experience with Patient Support Services, Specialty Pharmacy, Hub, Hub Enrollment, Aggregator, patient claims, or related patient-level healthcare datasets.
• Working understanding of the patient access and patient journey lifecycle, including enrollment, benefits investigation, prior authorization, therapy initiation, fulfillment, adherence, persistence, and post-prescription support.
• Strong proficiency in SQL and Python, with experience building and optimizing analytical data models and pipelines.
• Experience with cloud-based data platforms and storage/compute services such as Databricks, Snowflake, Azure, AWS, Redshift, or equivalent technologies.
• Experience creating data models for reporting, visualization, data science, and advanced analytics use cases, including feature engineering where relevant.
• Knowledge of data quality, metadata management, governance, lineage, and privacy principles for sensitive patient-level data.
• Ability to understand requirements provided by Data Product Owners and Lead Analytics Engineers and translate them into reliable technical solutions.
• Strong analytical, problem-solving, interpersonal, and communication skills, with the ability to build productive relationships across a matrixed environment.

• Experience supporting patient access, affordability, adherence, persistence, patient services, or specialty product analytics use cases.
• Knowledge of Specialty Pharmacy networks, Hub Operations, patient services vendors, Aggregator platforms, and pharmaceutical patient data ecosystems.
• Familiarity with healthcare data standards, patient identity and linkage considerations, de-identification, and compliant use of patient-level data.
• Experience with modern data stack, orchestration, transformation, cataloging, and low-code analytics tools.
• Experience with Power BI, ThoughtSpot, or other visualization and self-service analytics platforms.
• Experience enabling advanced analytics, AI/GenAI use cases through governed and reusable data foundations.
• Experience working in Scrum, SAFe, or other Agile delivery models.
• Cloud or modern data technology certifications are an advantage.

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