[SSF] Sr Analyst - Analytics

ProcDNA

San Francisco (CA)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

ProcDNA is seeking a Sr Analyst - Analytics in San Francisco to analyze healthcare and pharma datasets and drive data-driven strategies. You will structure complex data, build statistical models and BI tools to support strategic decisions.

The ideal candidate has 2–3 years in healthcare/pharma consulting, with claims-based analytics across patient, provider and payer levels, and hands-on experience with Tableau, SAS, R, and Alteryx.

Qualifications

  • 2–3 years of healthcare/pharma consulting experience.
  • Experience in the U.S. market is required.
  • Strong foundation in claims-based analytics across patient, provider and payer levels.
  • Excellent communication, both written and verbal.
  • Ability to multi-task, manage stakeholders, and deliver quality work.
  • Ability to work independently in a creative, analytical environment.

Responsibilities

  • Leverage technology and best practices to address challenges in healthcare and pharma.
  • Structure and model complex data to build statistical models and BI tools.
  • Use Tableau, SAS, R and Alteryx to improve outcomes and manage costs.
  • Streamline recurring tasks by building scalable operational processes.
  • Collaborate closely with clients to deliver high-impact solutions.
  • Support team development and contribute innovative ideas.
  • Develop new internal offerings to drive business growth.

Skills

Tableau
SAS
R
Alteryx

Education

Bachelors or Masters in Engineering

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 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

What you will do
  • 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.
Must Have
  • 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.
  • Bachelors or Masters 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.
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