Bachelor's degree in marketing, market research, engineering, computer science, finance or equivalent; MBA or advanced degree a plus; prefer a combination of marketing + data science fundamentals
5+ years of direct forecasting and/or related business intelligence/analytics experience in animal health, human health, consumer goods or other related space
Demonstrated leadership experience in forecasting and strategic analytics, and synthesis of insights into actionable strategies
Experience in strategic analytics including Secondary and Industry data analysis with expertise in Market Research (required) and Competitive Intelligence (preferred)
Ability to analyze complex data, extract business relevant information and communicate findings effectively throughout all levels of the organization
Preferred: Animal Health care industry experience
Business travel of 10-20% is expected
Demonstrated competency in Excel, PowerPoint, Word and Outlook programs required
Proficiency with quantitative languages and tools including SQL (or another advanced programming language such as R, C++, etc.) preferred
Responsibilities
Own holistic forecasts for Derm and AIM products, including synthesis of the top-down forecast with internal bottom-up forecasts delivered by each channel (Retail, Vet Clinic, etc.) in conjunction with Finance and aligned US Marketing teams; increase accuracy of financial and demand forecasts
Direct management of the top-down forecast, leveraging the model previously built
Identify and quantify drivers of current and future sales performance
Provide insights from across data sources to support the strategic plans and product P&L, such as modeling different forecast scenarios to optimize launch execution or understand impact of expected competitors
Support MI Lead in mining secondary data sources for TA-specific insights, analyzing TA-specific competitive intelligence activities and understanding primary market research insights; help consolidate information across these data sources to create a holistic view
Lead and manage financial forecasting efforts for assigned TA
Coordinate, collaborate and work closely with species leadership and relevant teams
Develop insights to inform forecasting through understanding of primary market research, secondary data analytics, internal sales data analytics and competitive intelligence