Cdna – Forecasting Senior Manager – Rare Disease

Cdna – Forecasting Senior Manager – Rare Disease

Requirements

• Doctorate degree and 2 years of forecasting, analytics or finance experience
• OR Master’s degree and 4 years of forecasting, analytics or finance experience
• OR Bachelor’s degree and 6 years of forecasting, analytics or finance experience
• OR Associate’s degree and 10 years of forecasting, analytics or finance experience
• OR High school diploma / GED and 12 years of forecasting, analytics or finance experience

Responsibilities

• Build and maintain robust forecasting models using advanced techniques (trend analysis, regression, scenario planning)
• Incorporate internal and external data (sales trends, competitive landscape, market research) to refine forecasts
• Conduct regular forecast reviews and adjust as needed based on market dynamics, sales performance and strategic changes
• Collaborate with cross-functional teams to align forecasts with business strategies
• Provide insights on performance drivers and potential risks and opportunities impacting the forecasts
• Evaluate and report the impact of market events (competitor launches, regulatory changes) on product performance
• Present forecasts and supporting insights to senior leadership and other stakeholders
• Work closely with supply chain teams to ensure forecasts align with inventory and operational planning
• Serve as the subject matter expert on forecast assumptions and methodologies
• Leverage data visualization tools (Tableau, Power BI) to communicate insights effectively
• Utilize forecasting software and statistical tools to improve accuracy and efficiency
• Continuously explore and implement new data sources and analytical techniques to enhance forecasting processes
• Oversight of one contingent worker

Preferred Qualifications

• Ability to quickly establish credibility with and influence ED/VP level staff
• Knowledge and experience working with industry internal and secondary data sources; experience doing analog and uptake curve analysis
• Proficiency in advanced forecasting techniques, statistical modeling and data analysis
• Highly skilled in working collaboratively in a team-based environment and gaining alignment across an organization
• High level of proficiency in Excel, PowerPoint and Power BI
• Excellent communication skills with the ability to present complex data and insights to both technical and non-technical stakeholders
• Partnership with business leaders to deliver high-quality predictions guiding strategic decision-making
• Ability to interpret and analyze data trends, identify patterns and make data-driven decisions
• Experience with Monte Carlo analysis and statistical trending