Senior Consultant- Life Sciences Customer Engagement- 466

Ovii's Interpretation of the Role

Senior Consultant driving data‑analytics and customer‑engagement projects for life‑sciences firms. Owns field‑force sizing, solution design, and stakeholder delivery while mentoring junior consultants.

Role Snapshot

• Senior Consultant
• Life‑Sciences Analytics
• Customer Engagement
• Field‑Force Optimization
• Stakeholder Management
• Mentoring & Coaching

Must-Have Requirements

• Python
• R
• Alteryx
• SAS
• Tableau
• PowerBI
• Field force sizing & deployment
• Customer engagement design
• Project delivery
• Stakeholder communication
• Mentoring junior resources
• Strong communication skills
• data and analytics engagements
• pharmaceutical/healthcare industry
• Graduate or Master's degree from Tier‑I/Tier‑II institution

Nice-to-Have Signals

• Interest in AI innovation and emerging trends
• Experience with unstructured data sets
• sales force optimization and deployment

Work Setup

• Location: Pune, India
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Lead end‑to‑end customer‑engagement projects with global teams, translating briefs into analytical tasks
• Design and implement field‑force sizing, structure, alignment and targeting solutions for pharma clients
• Conduct high‑quality data analysis using Python, R, Alteryx, SAS and visualise insights with Tableau/PowerBI
• Manage project milestones, flag risks and devise mitigation plans while ensuring delivery quality
• Contribute to firm‑wide capability building, templating and knowledge‑repository initiatives
• Mentor and coach junior resources on analytical approaches, data sets and commercial use cases

Good Fit If You Have

• Strong academic record from a Tier‑I/II university
• Passion for solving pharma industry challenges
• Comfort working in an international matrix environment with US clients
• Interest in AI and emerging data‑science trends