Senior Consultant - Commercial Operations & Analytics (271)

Ovii's Interpretation of the Role

Senior Consultant leading data‑driven commercial projects for pharmaceutical and life‑sciences clients. You will design analytics solutions, guide cross‑functional teams, and translate insights into actionable business recommendations.

Role Snapshot

• Lead cross‑functional consulting projects
• Deliver data‑analytics and BI solutions
• Provide strategic commercial insights
• Mentor junior consultants
• Manage client communications and timelines
• Develop data pipelines and visualizations

Must-Have Requirements

• Advanced Excel
• Microsoft Office suite
• Data visualization (Tableau, Power BI)
• Statistical programming (SAS, Python, R, VBA)
• Commercial analytics knowledge
• Project management
• Stakeholder communication
• pharmaceutical or life sciences industry experience
• Bachelor’s degree or advanced degree
• must be authorized to work in the US without sponsorship

Nice-to-Have Signals

• Familiarity with industry best practices in data analytics

Work Setup

• Location: Princeton, United States
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Eligibility Gates

• Work authorization: must be authorized to work in the US without sponsorship
• Visa sponsorship: no

Not Specified in JD

• Travel requirement
• Remote eligibility

What You'll Likely Work On

• Lead and manage consulting engagements for pharma commercial analytics
• Design and deliver high‑quality data‑driven deliverables for clients
• Analyze data, synthesize findings, and produce actionable insights
• Build and optimize data processes using coding and visualization tools
• Coordinate with global teams and serve as primary client contact
• Contribute to business development and internal growth initiatives
• Mentor and develop junior team members

Good Fit If You Have

• Strong analytical and quantitative problem‑solving ability
• Excellent written and verbal communication skills
• Proven ability to thrive in fast‑paced, collaborative environments
• Experience with pharma commercial data and analytics best practices