Associate Engagement Lead

Role & responsibilities

About ProcDNA:

• 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.

Preferred candidate profile

• 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.