Commercial Analytics Analyst

Responsibilities

• Serve as a senior, trusted commercial intelligence advisor to Sales leadership, owning the translation of complex commercial challenges into scalable analytical solutions and decision support.
• Deliver executive ready, story-driven insights that clearly communicate what is happening, why it matters, and recommended actions to improve revenue and execution.
• Provide advanced, data-driven recommendations across territory strategy, account prioritization, pipeline health, forecasting accuracy, and performance management.
• Own the design, development, and continuous evolution of decision-oriented dashboards and analytics solutions embedded into core Sales rhythms.
• Balance speed, analytical rigor, scalability, and data governance when delivering insights, dashboards, and analytics products.
• Lead analysis of large, complex, multisource datasets; ensure high standards of data quality, integrity, and consistency across reporting and analytics.
• Write, optimize, and maintain performance SQL queries; partner with BI and IT teams to influence data models, automation, and analytics architecture.
• Drive exploration, piloting, and adoption of AI-enabled analytics use cases to enhance insight generation, forecasting, and decision support, while championing responsible AI practices.
• Act as a senior advisor and enablement leader for Sales teams through hands-on guidance to increase analytics adoption and maturity.
• Lead and contribute to cross-functional initiatives and complex ad hoc analyses, continuously identifying opportunities to automate, standardize, and scale analytics processes.

Qualifications and Experience

• Proven experience leveraging AI or machine learning techniques in a business or sales analytics context (e.g., forecasting, segmentation, or lead scoring).
• Familiarity with AI-enabled analytics tools or platforms (e.g., Python ML libraries, Snowflake, Power BI, Tableau, or similar).
• Experience using generative AI tools (e.g., Copilot, ChatGPT) to enhance analysis, automate reporting, or improve productivity.
• Bachelor’s degree in Business, Finance, Economics, Analytics, or a related field.
• 5–8 years of progressive experience in sales analytics, business intelligence, or commercial performance roles.
• Demonstrated ownership of complex analytics solutions from problem framing through delivery and adoption.
• MBA or advanced degree preferred, but not required.
• Experience in medical devices, healthcare, regulated industries, and/or high-tech environments strongly preferred.
• Advanced SQL expertise (Microsoft SQL Server or equivalent).
• Strong Microsoft Excel and PowerPoint skills for executive-level analysis and storytelling.
• Familiarity with modern cloud analytics stacks, including Snowflake and transformation frameworks such as DBT, to support scalable analytics engineering and data quality.
• Exposure to Python or comparable analytical programming tools to support exploratory analysis, automation, or advanced insights (preferred).
• Strong command of statistical analysis, analytical reasoning, and quantitative methods.
• Ability to apply percentages, ratios, trends, and performance metrics to complex commercial and sales analytics scenarios.
• Capability to assess variability, drivers, and impacts within large datasets to inform strategic decisions.

Benefits

• Comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance.
• Sleep care management.
• Health Savings Account (HSA).
• Flexible Spending Account (FSA).
• Commuter benefits.
• 401(k).
• Employee Stock Purchase Plan (ESPP).
• Employee Assistance Program (EAP).
• Tuition assistance.