Staff - LS-BCsector-forecasting

Ernst & Young Advisory Services Sdn Bhd

Hyderabad

On-site

INR 1,500,000 - 2,100,000

Full time

14 days+

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Job summary

EY in India seeks a Pharma Forecasting Specialist to join a global, cross-functional team responsible for forecasting at global, country, and regional levels. The ideal candidate has 6–8 years of pharma forecasting experience and basic Python coding skills to automate processes.

You will develop brand forecasts, conduct long-term franchise forecasting, and collaborate with marketing, finance, and RCL/HHI/MMD teams to deliver dashboards and reports that inform leadership decisions.

Qualifications

  • Bachelor's degree in a quantitative field or related area.
  • Experience with SQL, Tableau and Alteryx.
  • Familiarity with Machine Learning/Statistical Learning is a plus.

Responsibilities

  • Develop brand volume forecasts for short- and long-term planning.
  • Conduct long-term forecasting using franchise insights.
  • Solve regional and brand-level analytical challenges with quantitative methods.
  • Perform sensitivity analyses to identify opportunities and risks.
  • Collaborate with cross-functional teams (marketing, finance, MMD, HHI, RCL) for forecasting needs.
  • Create and maintain forecasts using advanced analytics and forecasting techniques.
  • Prepare concept notes and presentations to communicate findings.

Skills

Forecasting
Python coding
Stakeholder mgmt
Business analysis
Communication

Education

Bachelor's degree

Tools

SQL
Tableau
Alteryx

Job description

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Job Title: Pharma Forecasting
Job Summary:

We are seeking a highly skilled Pharma Forecasting Specialist to join our team. This role involves being a key stakeholder in a cross‑functional team responsible for forecasting at global, country, and region levels based on need. The ideal candidate will have strong forecasting skills of around 6-8 years, therapeutic area (TA) and pharma experience, and the ability to recommend assumptions, create concept notes, and develop presentations. Basic Python coding skills are also required

Roles and Responsibilities:
  • Develop brand volume forecasts for both short-term and long-term strategic and operational planning.
  • Conduct strategic long-term brand and franchise forecasting, providing guidance based on franchise insights.
  • Solve regional and brand-level analytical challenges using quantitative approaches.
  • Perform sensitivity analyses to identify opportunities and manage risks, enhancing forecast accuracy.
  • Collaborate as a key stakeholder in cross‑functional teams (marketing, finance, MMD, HHI, RCL) for global, country, and regional forecasting needs.
  • Create and maintain accurate forecasts using advanced analytical and forecasting techniques.
  • Recommend assumptions and methodologies for forecasting models.
  • Prepare concept notes and presentations to effectively communicate findings and recommendations.
  • Perform comprehensive business analysis, including requirement elicitation, data management, and change management.
  • Apply Python coding skills to automate and improve forecasting processes.
  • Collaborate with global teams (marketing, finance, RCLs, HHI, MMD, market access) to gather requirements and deliver insights.
  • Analyze historical data and market trends to inform forecasting models.
  • Develop and maintain detailed reports and dashboards for forecasting purposes.
  • Present findings and recommendations to internal stakeholders and executive leadership.
  • Continuously optimize forecasting processes and methodologies.
  • Stay updated with the latest tools, technologies, and best practices in forecasting and analytics.
  • Strong business analysis skills with experience in requirement elicitation, data management, change management, and presentation.
  • Knowledge of Long Range Forecasting process.
  • Excellent communication, facilitation, and stakeholder management skills.
  • Therapeutic area‑specific knowledge and pharma experience.
  • Basic Python coding skills.
Desired Skills and Experience:
  • Extensive experience in business analysis and forecasting within the pharmaceutical industry.
  • Strong knowledge of one or more pharma therapeutic area such as Oncology, Vaccines etc.
  • Proven track record in developing and maintaining accurate forecasts.
  • Advanced proficiency in business analysis and forecasting tools.
  • Basic proficiency in Python coding.
  • Strong verbal and written communication skills.
  • Ability to manage tasks independently and proactively.
  • Strong analytical and problem‑solving skills.
  • Ability to work collaboratively with cross‑functional teams and stakeholders.
  • Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations.
Minimum Qualifications:
  • Bachelor's degree with relevant work experience in Business Administration, Data Science, Applied Mathematics, Pharmaceutical Sciences, Business Analytics, Computer Science, Information Systems, or other Quantitative field.
  • Experience with tools and techniques like SQL, Tableau, Alteryx, and data processing.
  • Familiarity with Machine Learning/Statistical Learning and AI and their application cases is a plus.
Preferred Qualifications:
  • Relevant analytical experience in Pharmaceutical Industry.
  • Experience in developing and maintaining forecasting models in the pharmaceutical industry.
  • Expertise in business analysis and forecasting tools.
  • Basic proficiency in Python coding.
  • Strong verbal and written communication skills.
  • Proactiveness and passion to tackle new challenges.
  • Personal drive and positive work ethic to deliver results in demanding situations.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

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