[NJ] Sr Engagement Lead-Analytics

About ProcDNA
ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 450+ across 9 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?
What we are looking for
We are seeking a Senior Engagement Lead – Analytics to join our team. You are someone with a strong understanding of the pharmaceutical industry, in-depth knowledge of datasets such as LAAD, DDD, XPO, etc., and a passion for working with complex data to solve real-world business challenges. In this role, you will help clients drive performance, manage risk, and develop practical, data-driven strategies that deliver measurable impact.
What you will do

• Leveraging data and emerging technologies: Build advanced analytics tools using Tableau, SAS, R, Alteryx, etc., to solve complex problems in healthcare and pharma.
• Driving strategic client partnerships: Act as a trusted advisor to client leadership, delivering innovative, high impact solutions that unlock growth for clients and ProcDNA.
• Structuring and modeling data: Analyze complex datasets, implement statistical models, and design BI tools to support data-driven decision-making.
• Leading and mentoring teams: Guide team leads, streamline recurring tasks, and ensure smooth execution and capability development.
• Building internal capabilities: Contribute to internal initiatives and ideate new offerings that enhance team and company growth beyond client work.

Must Have

• 8–10 years of experience in healthcare/pharma consulting, with at least 6+ years in the U.S. market.
• Bachelor’s or Master’s degree in Engineering, with strong academic performance.
• Proven ability to manage multiple projects for various stakeholders with a focus on quality.
• Excellent communication skills—verbal, written, and collaborative—able to clearly articulate results and issues to internal and client teams.
• Strong problem-solving skills with the ability to work independently in a creative and analytical environment.
• Experience in areas such as RWD/RWE Analytics, Claims Analytics, Healthcare Data Analytics, Patient Analytics, Patient Journey Analytics, Medical & Pharmacy Claims, Cohort Analysis, Longitudinal Patient Analytics, Treatment Pattern Analysis, Lines of Therapy (LOT), Adherence & Persistence, Payer Analytics, Provider/HCP Analytics, Market & Patient Sizing, Targeting, Segmentation, Referral Analytics,

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