Business Consultant - Patient Analytics

Veeva is building the industry cloud for Life Sciences through software, data, AI, and business consulting working together. Learn more about our products, vision, values, and status as a Public Benefit Corporation (PBC) on our website. Consulting is changing, and we’re not like other firms.

Launched in 2019, Veeva Business Consulting has grown quickly and organically to over 500 global experts who combine deep domain knowledge with innovative technology to help Life Sciences companies work in a more efficient and connected way. We are growing aggressively as we look towards 2030. We are seeking great people to help shape the future of the industry with the world’s leading software, data, AI, and expertise at their back

The role

• As a Consultant in our GlobalAnalyticsPractice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI.
• You will focus on reshaping operating models, driving organizational change, and measuring tangible business value.
• Analyze industry-leading patient-level claims data, alongside other real-world datasets, to convert raw data into actionable insights around market sizing, patient journey, line of therapy, and referral patterns.
• Apply these insights throughout the product lifecycle - from pre-launch planning to post-launch execution and real-world evidence generation

What you'll do

Lead project workstreams from end-to-end, ensuring the high-quality design and delivery of customer solutions Solve complex problems for Life Sciences leaders, leveraging Veeva’s unique data and software insights Mentor and manage Associate Consultants, overseeing their work and professional development within your workstream Drive practice growth by contributing to business development and internal IP creation Requirements Experience: 3+ years in Life Sciences Consulting (Business or Management Consulting preferred) Domain Knowledge: Experience working with or understanding of anonymized, patient-level claims data (preferred) or other large, real-world datasets Demonstrated knowledge of real-world data use cases/applications across the product lifecycle Proficient in SQL for querying and manipulating large datasets Analytical Rigor: A strong mindset for both quantitative and qualitative reasoning Communication: Ability to articulate complex ideas clearly to senior stakeholders Education: Bachelor’s degree or higher Not a perfect match yet?