Posted:1 day ago|
Platform:
Work from Office
Full Time
Lead client engagements to design and deliver healthcare analytics solutions, including patient journey mapping, treatment progression, behavior segmentation, and cost management strategies.
Develop and validate patient-level datasets by integrating multiple sources (claims, EMR, specialty pharmacy, etc.) and ensuring accuracy for robust analytics.
Translate complex data into actionable insights to support brand, market access, medical strategies, and strategic decision-making.
Leverage advanced tools and emerging technologies (e.g., Tableau, SAS, R, Alteryx) to solve complex business challenges, build accelerators, and enable visualization solutions like cohort identification and line-of-therapy analytics.
Collaborate with cross-functional teams and clients globally, fostering best practices in healthcare analytics while driving innovative, scalable solutions to improve patient outcomes.
2.5 4.5 years of analytics experience in consulting and patient-level analytics across indications, brands, or lifecycle stages, with exposure to statistical analysis, predictive modeling, segmentation, and go-to-market strategy.
Technical expertise in SQL, Excel, and PowerPoint, with strong ability to build and present clear, data-driven narratives. Experience with Python and advanced tools (e.g., R, SAS, Tableau, Alteryx) is a plus.
Hands-on experience with longitudinal healthcare datasets (claims, EMR, specialty pharmacy hub data), with the ability to derive actionable insights for strategic decision-making.
Strong communication and collaboration skills with proven ability to manage multiple projects, distill complex data into strategic insights, and work effectively with global teams.
Industry knowledge and problem-solving mindset with an understanding of healthcare/pharma market trends, regulatory frameworks, and competitive landscapes; able to work creatively and analytically with minimal direction.
Procdna
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