Senior Associate

Were Hiring: Senior Associate Forecasting at ChryselysLocation: HyderabadAbout 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.