Skills this job asks for
BudgetingLeadershipRisk managementExcelFinancial modelling
Add your CV (free) to see which of these your CV is missing.
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
-
?
No government sponsor record hereNo government sponsor record covers this employer in this country.
-
?
The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
-
?
Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
-
✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
About the role
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 acr
Apply on employer site ↗