[NJ] Senior Engagement Lead-Analytics
Princeton, NJ
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild advanced analytics tools using Tableau, SAS, R, Alteryx
Act as trusted advisor to client leadership on growth solutions
Analyze complex datasets, build statistical models and BI tools
Guide team leads and mentor teams to smooth execution
Contribute to internal initiatives and new offerings
From the employer’s posting
Build advanced analytics tools using Tableau, SAS, R, Alteryx, etc., to solve complex problems in healthcare and pharma.
Act as a trusted advisor to client leadership, delivering innovative, high impact solutions that unlock growth for clients and ProcDNA.
Analyze complex datasets, implement statistical models, and design BI tools to support data-driven decision-making.
Guide team leads, streamline recurring tasks, and ensure smooth execution and capability development.
Contribute to internal initiatives and ideate new offerings that enhance team and company growth beyond client work.
Tools in this posting
- SAS
- Tableau
Source — Tool mentions in context
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.
Posting record
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- Live
- First seen by us
- Sep 30, 2026 · 24 days ago
- Recorded sightings
- 31
- Last seen by us
- Oct 24, 2026
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Job description
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
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.
- 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,
Source details
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- Pay
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- Location & working pattern
Princeton, NJ
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