Manager, Healthcare Analytics

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

📋 Description

• Take full ownership of healthcare analyses from initial ambiguous requests through to cohort definition, SQL development, quality assurance, and actionable delivery.

• Collaborate with sales, client strategy, and ad operations as the expert in healthcare data.

• Develop and oversee reusable condition and treatment code sets, cohort and metric definitions, notebook templates, and accompanying documentation.

• Create audience segments for patients and healthcare providers based on real-world data.

• Produce client-ready deliverables, including market landscapes, competitive dynamics, switching behaviors, payer access, patient journeys, and audience recommendations.

• Present analytical findings to internal leadership and client stakeholders.

• Measure and report on campaign and community engagement performance.

• Utilize AI and generative AI tools to enhance analysis and reporting speed.

• Discover new methodologies, data sources, and analytical opportunities.

• Mentor team members and contribute to establishing analytical rigor.

⛳️ Requirements

• A minimum of 5 years of experience in data analytics, including the ability to independently manage projects from initial inquiry to final results.

• In-depth knowledge of healthcare data, encompassing medical and pharmacy claims, diagnosis and procedure coding, NDC and treatment data, as well as the healthcare industry.

• Advanced SQL proficiency.

• Practical experience with large datasets and cloud data platforms such as Databricks, Snowflake, or BigQuery.

• Capability to transform loosely defined requests into structured, defensible analyses while clearly communicating data limitations.

• Familiarity with data visualization tools and techniques.

• Skill in translating complex data insights into actionable recommendations for non-technical and senior audiences.

• Experience in mentoring or reviewing analytical work.

• Knowledge of pharmaceutical, life sciences, or healthcare marketing practices.

• Proficiency in Python, SQL, notebooks, and Git for reproducible analysis.

• A strong sense of curiosity and a passion for data exploration and healthcare innovation.

• Excellent organizational skills with the ability to juggle multiple projects and competing priorities.

🏝️ Benefits

• Opportunities for professional growth.

• Recognition as one of the Best Places to Work, fostering a culture of innovation and continuous learning.