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
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+ years of experience in the pharmaceutical or life science industry.
Skills :
Preferred Qualifications :
Educational Qualifications :
Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Engineering or a related field.
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