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Commercial Analytics Analyst

Job in San Diego, San Diego County, California, 92101, USA
Listing for: ResMed
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems/ Tech Analyst
Job Description & How to Apply Below

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 include:

  • 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 include:

  • 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…
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