Pharma Commerical Lead

About the Client:

A strategic data and technology partner focused on delivering high-impact commercial analytics and solutions for the life sciences sector.

Experience: 10+ Years in Pharma/Biotech Commercial Analytics & Strategy

We are seeking a Pharma Commercial Analytics Lead to serve as a hands-on Subject Matter Expert (SME) and project leader for our clients in the pharmaceutical and biotech space. This high-impact role requires an individual who can translate complex commercial data into clear, actionable business strategies, acting as the key link between technical analytics teams and senior business stakeholders.

• Serve as the primary Subject Matter Expert on pharma commercial data and analytics (IQVIA, Symphony Health, Claims data).
• Lead the design and end-to-end delivery of advanced analytics projects, ensuring technical accuracy and quality of deliverables.
• Translate complex analytical findings into compelling, easy-to-understand strategic recommendations for senior business stakeholders (Brand Directors, Sales VPs).
• Manage and deliver solutions across core commercial areas, including Omnichannel Effectiveness (ROI modeling), Sales Force Effectiveness (SFE) (territory alignment, incentive compensation), Brand Strategy (launch tracking), and Market Access (pricing/contracting analysis).
• Provide mentorship and coaching to junior analysts on best practices and domain knowledge.
• Support business development by participating in pre-sales conversations and preparing materials that showcase our analytics capabilities.
• Work closely with project managers and data engineering teams to manage project scopes, timelines, and resource allocation.

• Experience: 10+ years of focused experience in Commercial Analytics within the Pharmaceutical or Biotech industry (client-side or consulting/technology firm).
• Data Expertise (Non-Negotiable): Deep, hands-on working knowledge of core pharma commercial datasets including IQVIA (DDD, Xponent, LAAD, Claims), Veeva, and Symphony Health.
• Technical Proficiency: Strong hands-on skills in data manipulation and analysis (SQL, Python/R) and proficiency with data visualization tools (Tableau, Power BI).
• Project Leadership: Proven ability to lead the end-to-end delivery of analytics projects and manage internal and external stakeholder expectations.
• Communication: Exceptional ability to communicate complex technical concepts and strategic insights to non-technical business leaders.
• Mindset: Proactive, detail-oriented, and possessing a strong consulting approach focused on delivering measurable business value.
• Education: Bachelor?s degree in a relevant field (Life Sciences, Business, Statistics, Engineering); a Master?s degree is a strong plus.