Commercial Analytics Analyst

The Commercial Analytics Analyst acts as a strategic partner to the Commercial organization, enabling revenue growth and sales effectiveness through data driven insights, modern analytics solutions, and advanced BI platforms. This role goes beyond traditional reporting and dashboarding. The analyst is responsible for translating complex data into actionable insights, innovating and designing decision-oriented analytics solutions, and helping Sales teams make better, faster, and more confident decisions. The position serves as a commercial problem solver, combining strong analytical capabilities with business acumen and a solution driven mindset. The role requires close collaboration with Sales, Marketing, Finance, IT, and other cross functional stakeholders to innovate and deliver scalable analytics solutions, improve data quality, and continuously evolve how analytics supports commercial execution. 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. Demonstrated ability to translate complex business questions into advanced analytical approaches and executive‑ready insights. Deep experience working with large, complex datasets and writing optimized SQL queries. Proven track record of owning and delivering sophisticated analytics solutions using Tableau and/or Power BI. Strong data storytelling, executive communication, and stakeholder influence skills.Ability to independently manage multiple high‑impact initiatives while maintaining focus on business outcomes. Strong understanding of sales performance metrics, commercial KPIs, and revenue analytics. Comfort operating in ambiguous environments and providing analytical leadership without complete information. Ability to influence stakeholders and drive alignment without formal authority. 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 and Compensation Employees scheduled to work 30 or more hours per week are eligible for benefits. The position qualifies for a comprehensive package that includes medical, vision, dental, and life insurance; AD&D; short‑term and long‑term disability; sleep care management; Health Savings Account (HSA); Flexible Spending Account (FSA); commuter benefits; 401(k); Employee Stock Purchase Plan (ESPP); Employee Assistance Program (EAP); and tuition assistance. Employees accrue fifteen days Paid Time Off (PTO) in their first year, receive eleven paid holidays plus three floating days, and are eligible for fourteen weeks of primary caregiver or two weeks of secondary caregiver leave when welcoming new family members. Individual pay decisions are based on a variety of factors, including geographic work location, qualifications, experience, and skills. The current base salary range is approximately $91,000–$116,000. For remote positions outside the US, pay is determined based on the candidate’s geographic location, qualifications, experience, and skills. #J-18808-Ljbffr