Senior Analyst - Forecasting

GCL: D1

Introduction to role:

Are you prepared to transform uncertainty into clarity—turning data into evidence-based forecasts that guide investment and accelerate access for patients. In this role, you will build and sustain patient, volume, and revenue forecasts for strategic brands and early assets, partnering closely with Forecast Leaders and Commercial, Finance, and Market Access teams to set performance expectations and influence brand strategy for priority markets. Your work will directly shape how we plan, invest, and mobilize to bring medicines to patients faster.

Based at Manyata Tech Park, Bangalore, this hybrid role (three days a week in office) operates 2 PM–11 PM IST to collaborate seamlessly across global time zones. From day one, you will calibrate patient-based models, document clear assumptions, and surface the drivers that change growth trajectories. Can you translate complex market signals into critical guidance that leadership relies on.

Accountabilities:

• Forecast Ownership: Deliver robust, open demand forecasts for strategic brands and key markets, with clear documentation of assumptions and confidence levels to inform decisions.
• Methodology and Defense: Authoritatively and confidently defend forecast approaches, models, assumptions, and outputs to cross-functional collaborators.
• Data and Modelling Excellence: Ensure objectivity and difficulty by selecting the right data sources and applying industry-leading modelling techniques; run sensitivity analyses to quantify risks and opportunities.
• Launch and NPI Forecasting: Build short- and long-term new product introduction volume forecasts that feed strategic and operational planning.
• Cross-functional Integration: Align forecast assumptions across Marketing, Sales, Market Access and Pricing, Finance, and Sales Operations; demonstrate a deep understanding of integration points to drive cohesive plans.
• Business Planning Support: Lead forecasting and business planning workstreams, including sales bridges and ad-hoc analytics supporting Finance, to connect analytics to financial outcomes.
• Primary Research Integration: Incorporate insights from primary and secondary research into models to reflect real-world dynamics, risks, and upside.
• Continuous Improvement: Advance forecasting capabilities through statistical and predictive methods, simulations/Monte Carlo, scenario ranges, and automation; proactively leverage diverse tools and data sources.
• Global/US Processes: For global needs, develop new models for pipeline, lifecycle management, and business development; for US needs, participate in monthly S&OP, submit volumes, and develop weekly/monthly/yearly models and conversions.
  

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 research and secondary 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 trusted relationships across a range of partner groups including Marketing, Analytics, Operations, and Technology
• Proven experience in problem solving and continuous improvement
• Strong written and verbal communication
  

Desirable Skills/Experience:

• Advanced degree preferred (e.g., PhD, MBA, Masters)
• Early asset forecasting, portfolio/Asset prioritization, Business development & licensing opportunity assessment
• 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 reimbursement pathways and gross-to- net
  

Why AstraZeneca:

Join a high-performing, digitally savvy team that partners across the enterprise to unlock the power of science and deliver for patients. Here, unexpected teams sit in the same room to unleash bold thinking, combining data-driven decision-making with an ambitious spirit to move quickly and take balanced risks. We are trusted to do the right thing—ethics, compliance, and clarity are front and center—so your analyses become actions that matter. You will shape how the business plans and invests, while growing your craft alongside supportive colleagues who value patience as much as ambition and who share a clear line of sight from your work to patients’ lives.

Call to Action:

Ready to transform meticulous analysis into decisions that help deliver medicines faster? Apply now and make your impact from Bangalore on a global stage!

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

25-Sept-2026

Closing Date

08-Oct-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.