Consultant Forecasting

Role & 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 analyze market trends, competitor activity, and customer behavior.
• 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.

Preferred candidate profile

Experience: 3-5 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.

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

Perks and benefits