Senior Analyst - Forecasting

GCL : D1

Introduction to role:

Are you ready to turn complex data into clear, confident decisions that shape the future of life-changing medicines? In this role, you will develop patient, volume, and revenue forecasts for strategic brands and early assets across Global priority markets and the US—work that directly informs brand strategy, investment decisions, and how we reach patients faster!

Based at Manyata Tech Park, Bangalore on a hybrid schedule (three days a week in office) with a 2 PM - 11 PM IST shift, you will partner closely with forecasting leadership and Commercial teams. You will build and own models that set performance expectations, provide clarity on risk and opportunity, and guide cross-functional teams toward decisive action. Do you thrive in a dynamic environment where your analysis sparks strategy and your point of view earns trust?

Accountabilities:

• Develop and own forecast models. Build, validate, and maintain strong short-term and long-term models. These models reflect current data, assumptions, and market dynamics for key brands and initial assets.
• Decision Support: Translate insights into clear recommendations, expertly defend methodologies and assumptions, and influence cross-functional collaborators with clear logic and quantified confidence.
• Cross-Functional Alignment: Align forecast assumptions and analytical outputs with partners in Marketing, Sales, Market Access and Pricing, Finance, Analytics, and Sales Operations to ensure a single, trusted view of demand.
• New Product Introduction: Develop volume forecasts for launches to feed strategic and operational planning, informing resourcing, supply, and market activation.
• Data and Methodology Difficulty: Identify and apply the right data sources and industry-leading approaches; integrate primary research and secondary data to ensure objectivity and comprehensive coverage.
• Sensitivity and Scenario Analysis: Conduct simulations and ranges (including Monte Carlo as appropriate) to clarify uncertainty, quantify upside/downside, and support risk management.
• Global Pipeline and Early Assets: Create new forecast frameworks as business needs emerge for pipeline assets, lifecycle management, and business development opportunities.
• US Planning Cadence: For US-focused work, participate in S&OP processes, submit volumes, and build weekly, monthly, and annual models and conversions aligned to commercial rhythms.
• Continuous Improvement: Evolve forecasting capabilities through innovation in methodologies, automation, and tools; champion standard processes that improve speed, reliability, and decision quality.
• Documentation and Communication: Deliver forecasts with clear, accessible documentation of assumptions, confidence levels, and key drivers; proactively surface issues that matter to the business.
  

Essential Skills/Experience:

• Bachelor’s Degree in relevant field
• 6+ years of direct Pharmaceutical forecasting experience with an in-depth knowledge of forecasting techniques, models and approaches
• Good understanding of multiple disease areas, with experience in rare diseases/ OBU including how patients move through their respective diagnosis and treatment pathways, including treatment dynamics
• Experience integrating insights from market research and secondary data analysis into forecast assumptions
• Experience using a range of data sources and analytics involving standard data in the Pharmaceutical industry – e.g. IQVIA (MIDAS, DDD NPA, Monthly Xponent), claims data (Truven, Marketscan), epidemiological data, etc. For US forecasting, experience with TRx / NBRx / NRx data and methodologies
• Strong analytical expertise; excellent Excel, financial modelling and forecasting skills
• Ability to build trusted relationships across a range of partner groups including Marketing, Analytics, Operations, and Technology
• Confirmed experience in problem solving and continuous improvement
• Strong written and verbal communication
  

Desirable Skills/Experience:

• Advanced degree or equivalent experience preferred (e.g., PhD, MBA, Masters)
• Knowledge and experience in sophisticated statistical forecast methodologies and applied AI / ML / automation
• Experience working with Power Apps, specifically PowerBI
• For US forecasting, confirmed understanding of US Market Access and gross-to-net
  

Why AstraZeneca:

Join a high-performing, digitally savvy community where bold thinking is encouraged and supported. Here,unexpected teams come together to ignite bold ideas, using advanced technology and data to accelerate decisions impacting patients. You will have the freedom to think differently, take balanced risks, and see your work drive tangible change across the enterprise. We value persistence alongside ambition, and you will grow your craft by learning from bright minds who challenge and support one another every day.

Call to Action:

Bring your forecasting expertise to where it makes a difference—apply today to build models that guide bold decisions and improve patient outcomes!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.