AI-Driven Commercial Analytics Specialist

ResMed Inc.; San Diego (CA); On-site; USD 94,000 - 117,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) and ESPP

Flexible work arrangements

Job summary

Resmed is seeking a seasoned Commercial Analytics professional to empower Sales with AI-driven insights and scalable analytics products. You’ll translate complex data into actionable recommendations, partner with Sales, Marketing, Finance and IT, and advance analytics adoption across the commercial organization.

You’ll design intelligent analytics products, develop predictive insights, and integrate tools into Sales workflows to improve forecasting accuracy and revenue execution.

Qualifications

• Bachelor’s degree in Business, Finance, Economics, Analytics, or related field; MBA preferred.
• 5–8 years of progressive experience in sales analytics, business intelligence, commercial performance, or related analytics roles.
• Advanced SQL skills with 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.
• Demonstrated 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; familiarity with prompt design and responsible AI practices preferred.
• Familiarity with modern cloud analytics environments, including Snowflake and DBT; exposure to Python or similar analytical programming tools 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 preferred.

Responsibilities

• Advise Sales leadership on complex commercial challenges, designing scalable analytics and AI-driven decision support solutions.
• Deliver compelling insights and recommendations that clarify performance drivers and accelerate revenue execution.
• Provide sophisticated 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 high standards of 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 BI and IT to optimize SQL queries, automation, and data architecture strategies.
• Apply and advance AI-enabled use cases that 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 to identify and implement high-value opportunities across commercial analytics.

Skills

Advanced SQL

Tableau

Power BI

Data storytelling

Executive communication

Stakeholder influence

Analytical leadership

Commercial acumen

Education

Bachelor’s degree in Business, Finance, Economics, Analytics, or related field

MBA

Tools

Tableau

Power BI

Snowflake

DBT

Python

Job description

Resmed is seeking a seasoned Commercial Analytics professional to empower Sales with AI-driven insights and scalable analytics products. You’ll translate complex data into actionable recommendations, partner with Sales, Marketing, Finance and IT, and advance analytics adoption across the commercial organization.

You’ll design intelligent analytics products, develop predictive insights, and integrate tools into Sales workflows to improve forecasting accuracy and revenue execution.