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[SSF] Associate Engagement Lead - Analytics

ProcDNA
San Mateo, CA Full Time
POSTED ON 3/14/2025
AVAILABLE BEFORE 4/12/2025

Associate Engagement Lead - Analytics

About ProcDNA:ProcDNA is a global consulting firm focused on establishing Commercial Analytics and Technology solutions for life science firms. We work side by side with our clients, partnering to achieve their goals. Our people bring in a strong blend of design thinking, the latest technology and client-centric approach to create a lasting impact. We invite you to join us and be part of our growth journey.

What are we looking for?We are seeking an Associate Engagement Lead to join our team. The ideal candidate will have a foundational understanding of the pharmaceutical industry, experience working with complex datasets, and a passion for solving business challenges. You will play a critical role in helping clients achieve their goals through data-driven strategies, insights, and collaboration.

Key Responsibilities:

  1. Data Analysis and Integration
  • Assist in integrating and analyzing data from various sources to generate actionable insights
  • Support the creation of reliable, high-quality data repositories to drive informed decision-making
  1. Solution Development
  • Collaborate with senior team members to design and implement data-driven solutions for business challenges
  • Translate business requirements into technical specifications
  1. Data Quality and Benchmarking
  • Help establish data quality benchmarks and implement tools/processes to ensure data accuracy
  1. Client Collaboration and Support
  • Work with internal and external stakeholders to align data initiatives with client goals
  • Participate in client meetings to gather requirements, share insights, and provide technical support

Must Have:

  • 5 years of experience in pharma technology consulting (2 years in the U.S.)
  • Familiarity with data warehousing, analytics tools (e.g., Oracle, AWS, SQL/NoSQL, Redshift, Snowflake), and BI tools (Tableau, Power BI)
  • Understanding of data governance and quality management
  • Strong communication, collaboration, and problem-solving skills
  • Quick learner with the ability to contribute to business processes

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