Commercial Analytics Analyst

ResMed•San Diego, CA
•$94,000 - $117,000

About The Position

The Commercial Analytics Analyst helps Resmed’s Sales leaders and commercial stakeholders make informed decisions by combining data, analytics, and AI-enabled insights. The role designs intelligent analytics products, creates predictive insights, and translates analysis into actions that improve customer reach and service, commercial execution, revenue performance, and forecasting accuracy. It partners with Sales, Marketing, Finance, BI, and IT, while advancing responsible AI practices and analytics adoption across the commercial organization. The analyst advises Sales leadership on complex commercial challenges and develops scalable decision-support solutions. The role delivers analysis and tools for territory planning, account prioritization, pipeline health, forecasting, and performance management; maintains analytical rigor, scalability, and data governance; and applies AI to automate insights, improve forecasting, and increase Sales productivity. The position also evaluates emerging AI technologies and prototypes workflows that make data more accessible and support faster, better decisions.

Requirements

  • Bachelor’s degree in Business, Finance, Economics, Analytics, or a related field.
  • 5–8 years of progressive experience in sales analytics, business intelligence, commercial performance, or related analytics roles.
  • Advanced SQL skills and experience working with large, complex datasets and delivering analytics solutions using Tableau and/or Power BI.
  • Strong understanding of sales performance metrics, commercial KPIs, revenue analytics, statistical analysis, and quantitative methods.
  • Ability to translate complex business questions into analytical strategies, executive-ready insights, and scalable solutions from problem framing through adoption.
  • Experience applying generative AI and AI-enabled tools to automate workflows, accelerate analysis, generate insights, and support business decision-making.
  • Strong data storytelling, executive communication, and stakeholder influence skills, including the ability to drive alignment without formal authority.
  • Ability to independently manage multiple high-impact initiatives and provide analytical leadership in ambiguous environments.

Nice To Haves

  • MBA preferred.
  • Familiarity with prompt design and responsible AI practices.
  • Familiarity with modern cloud analytics environments, including Snowflake and DBT.
  • Exposure to Python or similar analytical programming tools.
  • Experience in medical devices, healthcare, regulated industries, and/or high-tech environments.

Responsibilities

  • Advise Sales leadership on complex commercial challenges and design scalable analytics and AI-driven decision-support solutions.
  • Deliver insights and recommendations that clarify performance drivers and accelerate revenue execution.
  • Provide analytics across territory planning, account prioritization, pipeline health, forecasting, and performance management.
  • Design and evolve dashboards and decision tools integrated into Sales workflows.
  • Maintain analytical rigor, scalability, and data governance in delivered insights and products.
  • Lead analysis of large, multisource datasets to ensure integrity, accuracy, and actionable outcomes.
  • Partner with BI and IT to optimize SQL queries, automation, and data architecture strategies.
  • Apply and advance AI-enabled use cases to automate insights, improve forecasting, and increase Sales productivity.
  • Prototype AI-powered workflows that simplify data access and enable faster, smarter decision-making.
  • Evaluate emerging AI technologies and identify and implement high-value opportunities across commercial analytics.

Benefits

  • Medical, dental, vision, life, AD&D, and disability insurance
  • HSA and FSA
  • Commuter benefits
  • Sleep care management
  • 401(k)
  • ESPP
  • EAP
  • Tuition assistance
  • Flexible Time Off (FTO)
  • 14 paid company holidays
  • Up to 14 weeks primary caregiver leave or 2 weeks secondary caregiver leave
  • Competitive pay
  • Flexible work arrangements
  • Programs supporting personal and professional growth
  • Eligible employees may have the opportunity to participate in incentive compensation programs, subject to applicable plan terms and eligibility requirements.
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