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15h Left: Senior Associate
4 weeks ago
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+ 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.
