Associate Manager, Commercial Operations & Analytics

Ovii's Interpretation of the Role

The Associate Manager will lead commercial analytics projects for life‑sciences clients, overseeing proposals, building data‑driven tools, and managing project delivery. The role blends technical coding, advanced analytics, and people‑management to drive client success and firm growth.

Role Snapshot

• Lead client proposals and project delivery
• Develop data‑driven reports and tools
• Mentor junior analysts and manage teams
• Drive client engagement and growth
• Manage project budgets and financials

Must-Have Requirements

• Advanced Excel
• Data and analytics in life sciences/pharma
• Project and people management
• Bachelor's degree or advanced degree
• must be authorized to work in the United States without sponsorship

Nice-to-Have Signals

• SAS
• Python
• VBA
• Tableau
• Power BI
• Microsoft PowerPoint
• Microsoft Word
• Coding with SAS/Python/VBA
• Data visualization with Tableau/Power BI

Work Setup

• Location: Boston, 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

• Salary range
• Visa sponsorship
• Remote eligibility
• Travel requirement
• Coding test

What You'll Likely Work On

• Oversee proposal development and ensure methodological rigor
• Build and enhance complex reports, online tools, and data pipelines
• Perform advanced analyses and present insights to clients
• Utilize SAS, Python, or VBA for data processing and reporting
• Manage project timelines, budgets, risks, and stakeholder communications
• Grow external client relationships and own key engagement aspects
• Identify new growth opportunities and shape service offerings
• Lead, mentor, and develop junior team members

Good Fit If You Have

• Experience in life‑sciences or pharmaceutical analytics
• Familiarity with commercial functions such as sales operations and BI
• Strong quantitative problem‑solving ability
• Proven leadership and team‑development experience