Senior Associate Forecasting

Were Hiring: Senior Associate Forecasting at Chryselys

Location: Hyderabad

About Us:

Chryselys is a Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.

We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.

Who we are:

People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.

Quality - Our goal is to deliver the value of a big five consulting company without the big five cost.

Technology - Our solutions are Business centric built on cloud native technologies.

Role Overview:

We are seeking a highly motivated and analytical Pharma Commercial Forecasting Senior Associate to join our growing team. In this role, you will develop accurate and insightful forecasts to support strategic decision-making across the product lifecycle. You will leverage your expertise in market research, data analysis, and forecasting methodologies to assess market opportunities, develop long-term plans, and identify potential risks.

Key Responsibilities:

•      Market and Opportunity Assessments: Conduct Robust market and opportunity assessments to identify growth opportunities and market trends for product launches, portfolio management, and business development strategies.

•      Forecasting Models: Develop and maintain robust forecasting models using methodologies such as time series analysis, analogy forecasting, and market sizing techniques. Experience with Python and SQL is a plus.

•      Data Analysis: Utilize industry-standard databases (e.g., IQVIA) and internal data sources to analyse market trends, competitor activity, and customer behaviour.

•      Sales Forecasts: Create accurate short-term and long-term sales forecasts to support budgeting, resource allocation, and operational planning, using a combination of qualitative and quantitative data.

•      Scenario Planning: Participate in scenario planning and risk assessment exercises to identify potential roadblocks and develop mitigation strategies.

•      Cross-Functional Collaboration: Collaborate with cross-functional teams to align forecasting models with business goals.

•      Communication: Effectively communicate forecasting results through presentations and reports tailored to different stakeholder audiences.

•      Process Improvement: Continuously monitor and improve forecasting methodologies and processes. Enhance and streamline routine processes through standardization and automation to increase efficiency and flexibility.

•      Research Support: Provide support with secondary research and analysis; stay informed on the latest therapeutic research, clinical developments, and competitive landscape to inform forecasting activities.

What You Bring:

Experience: 2-7 years of experience in the pharmaceutical or life science industry.

Skills:

•      Good understanding of pharma/oncology disease areas and indications.

•      Strong technical skills and functional expertise in inline & pipeline forecasting with specialized skills in creating models using epi and trend-based approaches.

•      Ability to collaborate with internal and external stakeholders for diverse forecasting needs: Strategic/long range planning, budget/tactical planning, Sales & Ops. Planning, Business Development & Licensing etc.

•      Strong analytical skills with experience in data analysis, manipulation, coding and visualization (experience with Python, Excel/VBA, Qlik/Tableau and SQL preferred).

•      Good understanding of quintessential US, RE and Global pharma datasets for sales/Rx & EPI.

•      Experience with market research techniques and familiarity with market research tools and databases.

•      Ability to independently work and deliver projects across brand life cycle.

•      Passion and commitment to achieve results through individual excellence and collaboration.

•      Strong problem solving, communication and customer orientation.

•      Understanding of industry standard forecasting platforms, tools and technologies is a plus.

Preferred Qualifications:

Educational Qualifications: Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Engineering or a related field.