Senior Analyst, Enterprise Investment Optimization

Overview

The Senior Analyst, Enterprise Investment Optimization (EIO) leads data validation and analytics on enterprise portfolio investments and resources, and provides preliminary recommendations, serving as the analytics powerhouse for the EIO team in partnership with the Senior Manager, EIO.

What you'll do

• Help answer ambiguous investment and resource-allocation questions through data analytics and objective frameworks.
• Support AIDE EIO leadership in delivering recommendations covering direct spend, capability spend, and HQ and field FTE resourcing across the US portfolio.
• Enable articulation of the implications, trade-offs, risks and expected outcomes of all investment scenarios.
• Maintain benchmarking through external partnerships to assess Novartis investment levels against comparable players.
• Enable optimal allocation of investments by challenging historical approaches and comparing baseline vs last year's budget.
• Help develop executive-ready narratives that enable EIO leadership to take decisions without needing to interpret underlying analytics details.
• Apply and continuously improve the enterprise methodology and approach to resource optimization.
• Help establish subject matter expertise and functional capability in AIDE.

What you'll need

• Bachelor's degree in engineering, Finance, Economics, or a related field.
• Minimum 3 years of experience in resource allocation, investment optimization, commercial analytics, strategic finance, or management consulting in the pharmaceutical or healthcare industry.
• Experience translating quantitative model output into strategic recommendations.
• Experience in marketing mix, promotion response, and investment optimization methodologies sufficient to interrogate assumptions, methodology, and limitations.
• Strong analytical, problem solving and consulting capability – structuring ambiguous questions into clear analytical needs.
• Quantitative fluency to develop modeling methodology and interpret results critically, without being the model builder.
• Excellent verbal and written communication skills, with the ability to co-present investment recommendations to leadership.
• Comfort operating with ambiguity and incomplete evidence.
• Proficiency with Excel and data visualization tools (e.g., Power BI, Tableau, or similar).

Nice to have

• Working knowledge of the US pharmaceutical commercial model and its data and analytics ecosystem.
• Familiarity with AI-enabled approaches to investment analysis, scenario modeling, and process modernization.

Details

• Location: Hyderabad (Office), Hybrid, 3 days a week in office is mandatory.