[SSF] Sr Analyst

ProcDNA • San Francisco, CA

31d

About The Position

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 400+ across 8 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 Sr Analyst - Analytics to join our team. The ideal candidate will have a good understanding of the pharmaceutical industry, detailed knowledge of datasets like LAAD, DDD, and XPO, and a passion for working on complex data sets. You will play a critical role in helping clients solve real-world problems, drive business performance, navigate risks, and develop pragmatic, data-driven strategies

Requirements

• 2–3 years of relevant experience in healthcare/pharma consulting, including at least 1 year of experience in the U.S. market.
• Proven experience in persistence and compliance analysis using healthcare claims data.
• Strong expertise in claims-based analytics across patient, provider, and payer levels.
• Bachelor’s or Master’s degree in Engineering with a strong academic track record.
• Ability to manage multiple projects and stakeholders while maintaining a high standard of quality.
• Excellent verbal, written, and interpersonal communication skills to effectively present insights to both internal and client teams.
• Demonstrated ability to work independently with minimal supervision in a creative, analytical, and problem-solving environment.

Responsibilities

• Leverage Technology & Best Practices: Use emerging tech and industry best practices to address challenges in healthcare and pharma.
• Data Structuring & Analysis: Structure and model complex data to build statistical models and BI tools that support strategic decisions.
• Advanced Analytics Tools: Utilize Tableau, SAS, R, and Alteryx to improve patient outcomes and manage costs effectively.
• Process Optimization: Streamline recurring tasks by building scalable and efficient operational processes.
• Client Collaboration: Work closely with clients to deliver customized, high-impact solutions.
• Mentorship & Innovation: Support team development and contribute innovative ideas and solutions.
• Internal Growth Initiatives: Develop new internal offerings to drive business growth beyond client work.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees