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NovartisVerified from Novartis' careers page · Workday

Senior Analyst, Enterprise Investment Optimization

  • Hyderabad, India
  • On-site
  • 3 Years
  • Posted Nov 6, 2026

At a glance

Senior Analyst, Enterprise Investment Optimization at Novartis, an on-site role based in Hyderabad, India. Experience level: 3 Years. Posted on 6 November 2026, read from Novartis' own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes.

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About this role

Job Description Summary The AIDE organization will enable I&A to engineer the optimal decision environment for the US business by orchestrating, integrating and synthesizing insights and analytics across all therapeutic areas, functions, and the enterprise. Enterprise I&A drives enterprise decision environments through integrated executive analytics and portfolio insights that enable the organization to prioritize investments, track performance, and shape strategic direction. The Senior Analyst, Enterprise Investment Optimization (EIO) will report to SM EIO and is accountable for leading data validation and analytics on enterprise portfolio investments/resources, and providing preliminary recommendations. The role will serve as analytics powerhouse for the EIO team providing analytical depth and breadth, scenario evaluations, synthesis, and preliminary recommendation in partnership with Senior Manager, EIO. Job Description Senior Analyst, Enterprise Investment Optimization, Enterprise I&A Location – Hyderabad #LI Hybrid Major Accountabilities Enterprise Investment Optimization Recommendations • Help answer ambiguous investment and resource-allocation questions through data analytics and objective frameworks. • Support AIDE EIO leadership deliver recommendations covering the 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 take decisions without needing to interpret underlying analytics details. Enterprise Standards & Capability Building • Apply and continuously improve the enterprise methodology and approach to resource optimization. • Help establish subject matter expertise and functional capability in AIDE. Minimum Requirements Education: Bachelor’s degree required. Novartis seeks an individual with relevant experience in the pharmaceutical or healthcare industry who combines quantitative fluency with consulting capability. • Minimum 3 years of experience in resource allocation, investment optimization, commercial analytics, strategic finance, or management consulting in the pharmaceutical or healthcare industry • Bachelor’s degree in engineering, Finance, Economics, or a related field • 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 Essential Requirements • 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) Preferred Skill Sets • 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 Success Measures • Deliverable Quality: Quality of EIO analytics and insights, used to develop and shape recommendation proposal to the business stakeholders. • Efficiency and Scalability: Delivery efficiency and extend of process standardization achieved using AI-based approaches to enable capability scaling. • Stakeholder Confidence: EH and AIDE LT having high confidence in generated insights and recommendations, considering the role as a trusted source of insights for objective decision making. Location: Hyderabad NKC | Hybrid | 3 days a week in office is mandatory. Skills Desired Alteryx, Analytical Thinking, Brand Awareness, Business Networking, Digital Marketing, Marketing Communications (MarCom), Marketing Planning, Marketing Strategies, Media Campaigns, Process Documentation, Statistical Analysis

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