Senior Associate

Were Hiring: Senior Associate Forecasting at Chryselys Location:HyderabadAbout Us: Chryselysis 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.