BC sector -LS-Commercial analyst-Senior

EY; Hyderabad; Sur place; INR 1 800 000 - 3 200 000; Plein temps

Résumé du poste

EY is seeking a Senior Consultant/Asst. Manager in Commercial analytics and Forecasting for the Life Sciences sector in Hyderabad.

The role focuses on Pharma forecasting at global, regional, and country levels, with responsibilities spanning model development, scenario analysis, and stakeholder communication. The ideal candidate has 7+ years of forecasting experience, strong TA knowledge, and basic Python proficiency to support forecasting activities.

Qualifications

• 7+ years of pharmaceutical forecasting experience in life sciences.
• Strong therapeutic area (TA) expertise and ability to develop forecasting assumptions.
• Proficiency in Python to support forecasting and analytics activities.

Responsabilités

• Develop and maintain brand forecasts for global, regional, and country levels.
• Conduct forecasting across brand, franchise, regional, and country levels to provide insights.
• Build and validate forecasting models and communicate findings to stakeholders.

Connaissances

Pharma forecasting

TA expertise

Forecasting assumptions

Python basics

Formation

Bachelor's degree

Pharma/Analytics MSc

Outils

SQL

Tableau

Power BI

Alteryx

Description du poste

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Technology - Consulting – Commercial analytics and Forecasting – Senior Consultant/Asst Manager – Life Sciences Sector

The opportunity

We are seeking an experienced Pharma Forecasting Specialist to join our team. The role involves working as a key stakeholder within a cross-functional team to deliver forecasts at the global, regional, and country levels based on business needs.

The ideal candidate will have 7+ years of pharmaceutical forecasting experience, strong therapeutic area (TA) expertise, and the ability to develop forecasting assumptions, create concept notes, and prepare impactful presentations. Basic proficiency in Python is required to support forecasting and analytical activities.

Your key responsibilities

As a Senior Consultant/Asst. Manager in Commercial analytics and Forecasting, you will work as a key stakeholder within a cross-functional team to deliver forecasts at the global, regional, and country levels based on business needs.

In this pivotal role, you will:

• Develop and maintain short-term and long-term brand forecasts to support strategic and operational planning.
• Conduct brand, franchise, regional, and country-level forecasting, providing actionable business insights and recommendations.
• Apply quantitative and analytical techniques to solve forecasting challenges and perform sensitivity analyses to assess risks and opportunities.
• Build, validate, and enhance forecasting models, recommending appropriate assumptions and methodologies.
• Analyze historical performance, market dynamics, and business drivers to improve forecast accuracy.
• Prepare concept notes, reports, dashboards, and presentations to communicate insights and recommendations effectively.
• Present findings to internal stakeholders and senior leadership to support decision-making.
• Leverage Python and analytics tools to automate and optimize forecasting processes.
• Drive continuous improvement by adopting best practices, innovative methodologies, and emerging forecasting technologies
• Conduct brand, franchise, regional, and country-level forecasting, providing actionable business insights and recommendations.
• Analyze historical performance, market dynamics, and business drivers to improve forecast accuracy.
• Prepare concept notes, reports, dashboards, and presentations to communicate insights and recommendations effectively.
• Present findings to internal stakeholders and senior leadership to support decision-making.
• Contribute to the growth and strategic direction of EY’s Pharma Customer practice.
• Develop thought leadership assets, including POVs, POCs, proposals, and go-to-market materials to support business development.
• Identify opportunities to expand EY’s capabilities and deliver innovative solutions for pharmaceutical clients.
• Stay current with pharmaceutical industry trends, market dynamics, and emerging technologies.
• Identify and support new business opportunities within the life sciences and pharmaceutical sectors
• Collaborate with cross-functional stakeholders, including Marketing, Finance, Market Access, MMD, HHI, and RCL teams, to gather requirements and deliver forecasting solutions.
• Build and maintain strong client relationships, acting as a trusted advisor and strategic partner.
• Translate business requirements into scalable, actionable, and sustainable solutions.
• Drive stakeholder alignment to ensure successful project delivery and client satisfaction

Team and People development

• Lead, coach, and mentor team members, fostering a culture of continuous learning and innovation.
• Recruit, develop, and retain high-performing talent with expertise in pharmaceutical forecasting and analytics.
• Create and execute development plans to support career growth and capability building.
• Strengthen team expertise in therapeutic areas, pharmaceutical sciences, strategic thinking, project management, and leadership.
• Foster an inclusive, agile, and high-performance team environment.
• Evaluate and manage team performance, providing regular feedback and development opportunities

Skills and attributes for success

To excel in this role, you will need:

• 7+ years of pharmaceutical forecasting experience.
• Strong therapeutic area (TA) expertise.
• Ability to develop forecasting assumptions, create concept notes, and prepare impactful presentations.
• Basic proficiency in Python to support forecasting and analytical activities

Experience:

• 7+ years of experience in pharmaceutical forecasting, commercial analytics, and business analysis within the life sciences industry.
• Extensive experience in developing, maintaining, and enhancing forecasting models to support strategic and operational decision-making across global markets.
• Strong expertise in Long-Range Forecasting (LRF), forecasting methodologies, scenario planning, and sensitivity analysis.
• Proven experience in business analysis, including requirements gathering, data management, process optimization, change management, and executive-level presentations.
• Deep therapeutic area expertise in Oncology, Vaccines, Immunology, Rare Diseases, or other pharmaceutical disciplines.
• Demonstrated track record of delivering robust forecasts and actionable business insights at global, regional, and country levels.
• Extensive experience collaborating with cross-functional stakeholders, including Commercial, Finance, Market Access, Medical Affairs, HEOR, and Strategic Planning teams.
• Proficiency in forecasting and analytics platforms such as SQL, Tableau, Alteryx, Power BI, and other data processing tools.
• Strong working knowledge of Python for analytics, forecasting, process automation, and advanced modeling applications.
• Familiarity with Artificial Intelligence (AI), Machine Learning (ML), and advanced statistical techniques applied to forecasting and commercial decision-making
• Exceptional analytical and problem-solving capabilities, with the ability to translate complex data into strategic business recommendations.
• Excellent communication, presentation, facilitation, and stakeholder management skills, with experience engaging senior leadership and client executives.
• Proven ability to manage multiple priorities, lead complex projects, and deliver high-quality outcomes in a dynamic, fast-paced environment.
• Demonstrated success working with global and cross-functional teams across geographies and organizational levels.
• Strong leadership presence, business acumen, and ownership mindset, with a focus on driving client value and delivery excellence.
• Passion for continuous learning, innovation, and the adoption of emerging technologies and best practices in pharmaceutical forecasting and analytics.
• Experience leading and mentoring high-performing teams while fostering a culture of collaboration, capability development, and continuous improvement.
• Track record of contributing to business development, proposal support, thought leadership, and practice-building initiatives

Skillsets:

• Data Tools: MS Excel, MS PowerPoint
• Data Manipulation & Analysis: SQL
• Programming Languages: Python
• Stakeholder Management

To qualify for the role, you must have

• Bachelor’s degree in business administration, Data Science, Applied Mathematics, Pharmaceutical Sciences, Business Analytics, Computer Science, Information Systems, or another quantitative discipline, with relevant professional experience.
• BTech/Masters/PhD.
• 7+ years of experience in pharmaceutical forecasting, commercial analytics, and business analysis within the life sciences industry.
• Strong therapeutic area (TA) expertise.
• Basic proficiency in Python

Ideally, you’ll also have

• Passion for continuous learning, innovation, and the adoption of emerging technologies and best practices in pharmaceutical forecasting and analytics.
• Experience leading and mentoring high-performing teams while fostering a culture of collaboration, capability development, and continuous improvement.
• Track record of contributing to business development, proposal support, thought leadership, and practice-building initiatives

What we look for

The ideal candidate will have 7+ years of pharmaceutical forecasting experience, strong therapeutic area (TA) expertise, and the ability to develop forecasting assumptions, create concept notes, and prepare impactful presentations. Basic proficiency in Python is required to support forecasting and analytical activities

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