Senior Analyst – Pharmaceutical Forecasting

BENGALURU (IN)HYBRIDPOSTED: 9/25/2026
PHARMAFull time
HIRING ORGANIZATIONASTRAZENECAPharmaceuticals / Biopharmaceuticals / Healthcare
AstraZeneca

ROLE OVERVIEW

AstraZeneca's Global Commercial organisation in Bangalore is seeking a Senior Analyst – Forecasting to convert uncertainty into evidence-based clarity for strategic brands and early-stage assets. Based at Manyata Tech Park in a hybrid setup (three days on-site, 2 PM–11 PM IST to overlap global time zones), this role builds the patient, volume and revenue forecasts that guide investment decisions, launch readiness and market access strategy across priority markets. The position is genuinely influential: the models you author flow directly into commercial plans, Finance sales bridges and pricing discussions that determine how quickly medicines reach patients. For an experienced pharma forecasting professional, this is a rare chance to shape global and US brand portfolios — including rare disease and oncology business units — while deepening statistical, AI/ML and automation capability inside one of the world's most respected biopharmaceutical companies.

ROLE DEFINITION & RESPONSIBILITIES

  • •Build and sustain robust patient-based, volume and revenue forecasts for strategic brands and priority markets, clearly documenting assumptions and confidence levels.
  • •Confidently defend forecast methodologies, model architecture, assumptions and outputs to cross-functional collaborators across Commercial, Finance and Market Access.
  • •Select the right data sources and apply industry-leading modelling techniques, running sensitivity analyses and Monte Carlo simulations to quantify risks and upside.
  • •Develop short- and long-term new product introduction (NPI) forecasts that feed strategic, operational and launch readiness planning.
  • •Integrate primary and secondary research insights — epidemiology, patient flow and treatment dynamics — into forecast assumptions and scenario ranges.
  • •Lead forecasting and business planning workstreams, including sales bridges and ad-hoc analytics, connecting commercial analytics to financial outcomes.
  • •Support US monthly S&OP cycles by submitting volumes and building weekly, monthly and annual models and unit conversions.
  • •Advance forecasting capability through predictive methods, automation, simulations and tools such as Power BI and applied AI/ML.

QUALIFICATIONS & REQUIREMENTS

REQUIRED QUALIFICATIONS

  • Bachelor's degree or equivalent in Life Sciences, Pharmacy, Statistics, Economics, Engineering or Business; an advanced degree (MBA, MSc, PhD) is preferred.
  • 6+ years of direct pharmaceutical forecasting experience with in-depth command of forecasting techniques, models and approaches.
  • Solid understanding of multiple disease areas, ideally rare disease or oncology, including diagnosis and treatment pathways and treatment dynamics.
  • Demonstrated experience integrating market research and secondary data analysis into forecast assumptions.
  • Strong analytical expertise with excellent Excel and financial modelling skills.
  • Proven ability to build trusted relationships across Marketing, Analytics, Operations and Technology partner groups, with strong written and verbal communication.
  • Hands-on experience with IQVIA datasets (MIDAS, DDD, NPA, Monthly Xponent), claims data (Truven, Marketscan) and epidemiological data.

PREFERRED QUALIFICATIONS

  • •Early-asset, pipeline and life-cycle forecasting
  • •Business development and licensing opportunity assessment
  • •Applied AI/ML and statistical forecast automation (Python, R)
  • •Rare disease and Oncology Business Unit (OBU) experience
  • •Confirmed understanding of US reimbursement pathways and gross-to-net

REQUIRED VERIFIED SKILLS

Pharmaceutical Forecasting & Patient-Based Modelling
IQVIA MIDAS / NPA / Xponent Analytics
Claims Data Analysis (Truven, Marketscan)
Financial Modelling & Sales Bridge Analysis
Scenario Planning & Monte Carlo Simulation
US S&OP and TRx / NBRx / NRx Volume Methodologies
Advanced Excel & Power BI
Epidemiology & Treatment Pathway Analysis
Cross-Functional Stakeholder Management
Market Access, Pricing & Gross-to-Net Awareness

COMPENSATION & REWARDS

Salary: Competitive / Disclosed upon candidate shortlisting

ORGANIZATION CONTEXT & CULTURE

AstraZeneca is a global, science-led biopharmaceutical company focused on the discovery, development, and commercialisation of prescription medicines. The company operates in various therapeutic areas, including Oncology, Cardiovascular, Renal & Metabolism, and Respiratory & Immunology. AstraZeneca is committed to pushing the boundaries of science to deliver life-changing medicines and improve patient outcomes worldwide.

TEAM SIZE: 89,000+ employees
INDUSTRY: Pharmaceuticals / Biopharmaceuticals / Healthcare

EXPECTED CAREER ROADMAP

From this position, a strong performer typically advances to Forecasting Manager or Senior Manager within 2–3 years, owning a therapeutic-area portfolio and mentoring analysts. Beyond that, natural pathways include Global Commercial Insights Lead, Market Access & Pricing Strategist, or Portfolio Strategy and Business Development roles, since forecasting craft is highly portable across the industry. In India's expanding GCC and pharma analytics market, this experience is prized by companies such as Novartis, Pfizer, Sanofi, IQVIA, ZS Associates and Indegene, where commercial analytics leaders command premium compensation. Lateral moves into HEOR, brand strategy or finance business partnering are also common exit routes.

APPLICATION ADVISORY

Tailor your CV to highlight four to six brands or assets you have forecast, naming the therapy area, market, model type and the decision your forecast influenced. Be ready to whiteboard a patient-based model and explain your assumptions, data sources and sensitivity ranges. AstraZeneca interviewers test forecast defence, so expect challenge questions on methodology, epidemiology inputs, NPI adoption curves, TRx/NBRx conversion and gross-to-net. Rehearse storytelling that links data to commercial decisions, and quantify any automation or Power BI work that saved time.
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