Manager, Advanced Commercial Analytics

atLyons MagnusRemote

California Full-time Pricing AnalystMid-levelSenior$110k – $140k/year

Posted Oct 24

This is a fully remote position, open to applicants in California.

📋 Description

• Lead initiatives in advanced analytics that support decisions in sales, marketing, and commercial strategy.

• Create revenue models that link costs and pricing to enhance margins through strategic adjustments in pricing and fee structures.

• Design predictive models, dashboards, and key performance indicators (KPIs) to uncover growth opportunities, refine forecasting, and enhance sales performance.

• Convert data insights into actionable business strategies in collaboration with Sales, Marketing, and Commercial Operations.

• Examine performance data from distributors, providers, and customers to inform channel strategies, prioritize accounts, and optimize revenue.

• Deliver analytics-driven insights for new product introductions, encompassing market potential, pricing strategies, and adoption trends.

• Collaborate with IT to establish standardized reporting, data governance, and best practices in commercial analytics.

• Articulate complex analyses and actionable insights to senior leadership effectively.

• Implement contemporary analytics trends, tools, and methodologies to guide commercial decision-making.

⛳️ Requirements

• Bachelor’s degree in Business, Economics, Statistics, Data Science, or a related discipline.

• Over 4 years of experience in commercial analytics, business intelligence, or data science.

• Strong skills in predictive modeling, advanced statistical analysis, and data visualization.

• Proficiency in predictive modeling, statistical analysis, and data visualization tools (e.g., Python, R, SQL, Tableau, Power BI).

• Experience in sales forecasting, revenue analytics, and market modeling.

• Comprehensive understanding of healthcare distribution, provider networks, and commercial operations.

• Exceptional problem-solving, analytical, and communication abilities, with the capacity to influence cross-functional teams.

• An entrepreneurial mindset, highly self-motivated, and adept at thriving in a rapidly evolving, fast-paced environment.

• Previous experience in the healthcare, medical device, or nutrition industries is preferred.

• An MBA or advanced degree is preferred.

• Experience with advanced AI, such as constructing and deploying machine learning models, generative AI applications, or AI agents to automate analytics and support commercial decision-making is preferred.