Associate Engagement Lead

About ProcDNA

What We Are Looking For

What You’ll Do

• 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.
  

Must Have

• IC Process Knowledge: Solid understanding of sales crediting, IC plans, goal setting, and bonus calculation methodologies.
• Client Deliverables Expertise: Familiarity with the deliverables sent to US HC clients, ensuring compliance and quality in all outputs.
• Technical Proficiency: Proven experience in creating input files for IC systems—including raw sales, goals, alignment, and eligibility data—and generating polished output files (IC reports, scorecards, HQ reports).
• Analytical Acumen: Strong analytical skills with a keen eye for detail to ensure data integrity and process accuracy.xperience working with longitudinal data sources (e.g., claims, EMR, SP Hub)
• Strong communication skills with the ability to distill complex data into strategic insight.
  

Good To Have

• 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.