Global Analytics Consultant - Patient Data (Life Sciences)

Veeva Systems, Inc.

United States

Remote

USD 70,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Flexible PTO
Retirement plans
Charitable giving program
Career progression
Work Anywhere (home or office)

Job summary

Veeva Systems, Inc. is seeking a Consultant in the Global Analytics Practice. You will transform how Life Sciences teams work with Technology, Data, and AI to deliver tangible business value.

You will analyze patient-level claims data and real-world datasets to guide market sizing, patient journeys, therapy lines, and referral patterns, shaping the product lifecycle from pre-launch to post-launch evidence generation.

Qualifications

  • 3+ years in Life Sciences Consulting (Business or Management)
  • Experience with anonymized, patient-level claims data or large real-world datasets
  • Knowledge of real-world data use cases across the product lifecycle
  • Strong SQL skills for querying and manipulating large datasets
  • Analytical mindset with quantitative and qualitative reasoning
  • Ability to articulate complex ideas clearly to senior stakeholders
  • Bachelor’s degree or higher

Responsibilities

  • Lead project workstreams from end-to-end, ensuring high-quality design and delivery of customer solutions
  • Solve complex problems for Life Sciences leaders using Veeva’s data and software insights
  • Mentor and manage Associate Consultants within your workstream
  • Drive practice growth through business development and internal IP creation

Skills

SQL
Analytical thinking
Communication
Leadership

Education

Bachelor’s degree or higher

Job description

Veeva Systems, Inc. is seeking a Consultant in the Global Analytics Practice. You will transform how Life Sciences teams work with Technology, Data, and AI to deliver tangible business value.

You will analyze patient-level claims data and real-world datasets to guide market sizing, patient journeys, therapy lines, and referral patterns, shaping the product lifecycle from pre-launch to post-launch evidence generation.

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