Manager, Advanced Commercial Analytics

Description

Lyons Magnus leads the food industry with creativity and innovation, crafting top-quality products across all manufacturing phases, from raw materials to marketing. With over 2,000 diverse items for industrial ingredient and food service sectors, Lyons caters to leading restaurant chains nationally and internationally. At Lyons, our diverse and talented staff is the heart of our organization. We foster a thriving work environment where employees are engaged in shaping both the company's and their own future.

• →Lead advanced analytics initiatives to support sales, marketing, and commercial strategy decisions.
• →Partner with Sales, Marketing, and Finance to develop revenue models mapping costs and price to grow margin through strategic pricing and fee structure changes.
• →Develop predictive models, dashboards, and KPIs to identify growth opportunities, improve forecasting, and optimize sales performance.
• →Partner with Sales, Marketing, and Commercial Operations to translate data insights into actionable business recommendations.
• →Analyze distributor, provider, and customer performance data to support channel strategies, account prioritization, and revenue optimization.
• →Support new product launches by providing analytics-driven insights on market potential, pricing strategies, and adoption trends.
• →Partner with IT to implement tools and processes to standardize reporting, data governance, and commercial analytics best practices.
• →Communicate findings effectively to senior leadership, translating complex analyses into clear, actionable recommendations.
• →Stay current on analytics trends, tools, and techniques, applying innovative methods to commercial decision-making.

• Proficiency in predictive modeling, advanced statistical analysis, and data visualization.
• Exceptional analytical, problem-solving, and communication skills.
• Entrepreneurial, self-driven, and adaptable.
• Demonstrates a strong curiosity and eagerness to utilize and explore, learn, and leverage emerging AI tools (e.g., Claude, ChatGPT) to streamline processes, improve efficiency, and continuously identify opportunities for improved productiv

• Bachelor's degree in business, Economics, Statistics, Data Science, or related field.
• 4+ years of experience in commercial analytics, business intelligence, or data science.
• Expertise in predictive modeling, statistical analysis, and data visualization tools (e.g., Python, R, SQL, Tableau, Power BI).
• Experience with sales forecasting, revenue analytics, and market modeling.
• Deep understanding of healthcare distribution, provider networks, and commercial operations.
• Excellent problem-solving, analytical, and communication skills, with the ability to influence cross-functional teams.
• Entrepreneurial mindset, highly self-motivated, and comfortable operating in a fast-growing, high-change environment.

• MBA or advanced degree preferred.
• Experience in healthcare, medical device, or nutrition industries.
• Advanced AI experience, such as building and deploying machine learning models, generative AI applications, or AI agents to automate analytics and support commercial decision-making.