Key Responsibilities - Project Delivery
 Lead analytics engagements in areas such as segmentation, targeting, market mix modelling, promotion response, and digital analytics.
 Monitor brand forecasts, proactively identify deviations, and drive strategic forecasting discussions.
 Present insights and recommendations using compelling storytelling and data visualization.
Client Relationship Management
 Serve as the primary point of contact for clients on commercial analytics topics.
 Understand client objectives and translate them into actionable analytics solutions.
 Build and maintain strong relationships with key stakeholders.
Team Leadership & Project Management
 Lead and mentor a team of analysts, fostering professional growth and high performance.
 Oversee project execution from initiation to delivery, ensuring quality and timeliness.
 Coordinate cross-functional efforts to solve complex business challenges.
Business Development & Strategic Growth
 Identify new business opportunities and support proposal development and client pitches.
 Collaborate with leadership to shape the strategic direction of the analytics practice.
 Stay current with industry trends, market dynamics, and emerging technologies.
 Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science).
 Advanced degree (MBA, MS) preferred.
 Candidates with degrees in pharma domains and analytics experience are equally considered.
 8+ years in commercial analytics, with 5+ years in pharma/life sciences consulting.
 Proven track record of delivering impactful analytics solutions and managing client relationships.
 Strong leadership and people management capabilities.
 Excellent communication and presentation skills for diverse audiences.
 Strategic mindset with a focus on innovation and continuous improvement.
 Proficiency in tools such as Excel, R, SQL, Python, Tableau, and Power BI.
 Familiarity with pharmaceutical datasets (e.g., prescriber-plan, patient-level, claims, Rx, EMR/EHR, diagnostics).
 Hands-on experience in pharma forecasting, including inline forecasting, scenario modeling, and trend analysis.