[SSF] Engagement Lead - Analytics

ProcDNASouth San Francisco, CA

About The Position

ProcDNA is a global life sciences consulting firm that uses design thinking and cutting-edge technology to create Commercial Analytics and Technology solutions for clients. The company has over 400 employees across 8 offices. The Engagement Lead - Analytics will help clients improve performance, manage risk, and develop data-driven strategies. This role involves leveraging data and emerging technologies to build advanced analytics tools, driving strategic client partnerships as a trusted advisor, structuring and modeling complex datasets, leading and mentoring teams, and building internal capabilities through new offerings.

Requirements

  • 5–7 years of experience in healthcare/pharma consulting, with at least 3+ 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 IC, Ops, Design, Implementation, Goal Setting, Sales Crediting, Eligibility, Contests, Awards, Targeting, Call Planning, Sizing, Alignment, and Segmentation.

Nice To Haves

  • Strong understanding of the pharmaceutical industry.
  • In-depth knowledge of datasets such as LAAD, DDD, XPO, etc.
  • Passion for working with complex data to solve real-world business challenges.

Responsibilities

  • 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.
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