Senior Analyst - Forecasting

GCL: D1

Introduction To Role

Are you ready to turn complex data into forecasts that shape decisions for life-changing medicines As Senior Analyst - Forecasting based at Manyata Tech Park, Bangalore, you will partner closely with commercial and finance leaders to translate market signals into clear revenue, volume and patient outlooks for strategic brands and early assets across top markets. Working a 2 PM - 11 PM IST hybrid schedule, you will operate in sync with global collaborators to influence decisions at pace.

You will own robust, defensible forecast models that set expectations for brand performance and inform investment, supply and access strategies. How will you bring transparency to uncertainty, illuminate risks and opportunities, and guide strategy from launch through lifecycle Your analysis will directly support planning and prioritization that ultimately benefits patients.

Accountabilities

• Forecasting Excellence: Deliver timely, visible demand forecasts for key markets and leading brands, documenting assumptions, confidence levels and robustness to support decision-making.
• Model Development: Build and maintain product-specific short- and long-term forecast models, including patient-based models for assigned therapeutic areas, ensuring they reflect current data, information and assumptions.
• Insight Integration: Incorporate findings from primary research and secondary data into assumptions; run sensitivity analyses on key variables to identify risks, opportunities and ranges.
• Collaborator Partnership: Align forecast assumptions and analytical assessments with Marketing, Sales, Commercial Access and Pricing, Finance and Sales Operations; expertly defend methodology and outputs to cross-functional teams.
• New Product Introduction: Develop short- and long-term volume forecasts for new launches to foster strategic and operational planning processes.
• S&OP and Operations: For US forecasting, participate in the monthly S&OP process, submit volume inputs, and develop weekly, monthly and annual models and conversions.
• Capability Building: Advance forecasting capabilities through continuous improvement, including statistical and predictive methods, simulations/Monte Carlo, and deeper data utilization; develop new models for pipeline assets, lifecycle management and business development needs.
• Data and Objectivity: Select appropriate data sources and apply industry-leading approaches to ensure objectivity and adaptability, proactively using multiple tools and datasets.
• Integration Approach: Understand how forecasting connects with adjacent workstreams and functions to drive enterprise value.
  
  

Essential Skills/Experience

• Bachelor's Degree or equivalent experience 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 studies and existing data analysis into forecast assumptions
• Experience using various 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 positive relationships across various partner groups including Marketing, Analytics, Operations, and Technology
• Validated 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, validated understanding of US Market Access and gross-to-net
  
  

When we put unexpected teams in the same room, we fuel bold thinking with the power to encourage life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding and high-reaching world.

Why AstraZeneca

Here, meticulous science meets digital resourcefulness to accelerate impact for patients. You will work in an agile, fast paced environment where unexpected teams come together to tackle complex problems, demonstrating sophisticated analytics, automation and data to drive smarter decisions. We unite ambition with support, valuing patience alongside performance, so you can take ownership, learn at speed and see your contribution influence how medicines reach people worldwide.

Call To Action

Bring your forecasting craft to a stage where it truly matters-submits your application and shape decisions that propel medicines to patients and your career to new heights.

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

31-Aug-2026

Closing Date

13-Sept-2026

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.