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Resmed

Cloud-connected medical devices and software platforms

Commercial Analytics Analyst

Data Science +1Confirmed live in the last 24 hours
Full-timeSan Diego, CA, USAIn-person

About the Job

Requirements

  • A bachelor’s degree in Business, Finance, Economics, Analytics, or a related field is required; an MBA is preferred.
  • Five to eight 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 key performance indicators, 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 artificial intelligence and AI-enabled tools to automate workflows, accelerate analysis, generate insights, and support business decision-making.
  • Familiarity with prompt design and responsible artificial intelligence practices is preferred.
  • Familiarity with modern cloud analytics environments, including Snowflake and DBT; exposure to Python or similar analytical programming tools is preferred.
  • Strong data storytelling, executive communication, and stakeholder influence skills, with the ability to drive alignment without formal authority.
  • Ability to independently manage multiple high-impact initiatives and provide analytical leadership in ambiguous environments.
  • Experience in medical devices, healthcare, regulated industries, and/or high-tech environments is preferred.

Responsibilities

  • Advise Sales leadership on complex commercial challenges by designing scalable analytics and artificial intelligence-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 to improve focus and foresight.
  • Maintain analytical rigor, scalability, and data governance in every insight or product delivered.
  • Lead analysis of large, multisource datasets to ensure integrity, accuracy, and actionable outcomes.
  • Partner with Business Intelligence and Information Technology to optimize SQL queries, automation, and data architecture strategies.
  • Apply and advance artificial intelligence-enabled use cases that automate insights, improve forecasting, and increase Sales productivity.
  • Prototype artificial intelligence-powered workflows that simplify data access and enable faster, smarter decision-making.
  • Evaluate emerging artificial intelligence technologies to identify and implement high-value opportunities across commercial analytics.

Desired Qualifications

  • An MBA.
  • Familiarity with prompt design and responsible artificial intelligence practices.
  • Exposure to Python or similar analytical programming tools.
  • Experience in medical devices, healthcare, regulated industries, and/or high-tech environments.

About the Company

Resmed

Cloud-connected medical devices and software platforms

ResMed creates cloud-connected medical devices and software platforms to treat and manage sleep apnea, COPD, and other chronic diseases. Its devices (like sleep therapy gear) collect patient data and deliver therapy, while connected software platforms enable remote monitoring, coaching, and caregiver support. The company sells medical devices and offers software subscriptions, generating revenue from product sales and ongoing service fees. Unlike some competitors, ResMed combines hardware with cloud-based analytics and a broad ecosystem that supports patients, healthcare professionals, and caregivers across more than 120 countries. Its goal is to improve patient care and quality of life while reducing hospital visits and overall healthcare costs.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Diego, CA
Founded
1989

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