Global Supply Chain Insights Data Analyst

Resmed; San Diego (CA); On-site; USD 73,000 - 109,000; Full time

Benefits offered by this job

Medical, Vision, Dental

AD&D and disability insurance

HSA and FSA

Commuter benefits

401(k) with ESPP

Paid time off + holidays

Job summary

ResMed seeks a Data Analyst to empower data-driven decisions across the Global Distribution, Logistics & Trade organization. You will transform complex data into actionable insights, develop dashboards, and collaborate with regional teams to improve service, cost, and efficiency across the supply chain.

The role requires building self-service analytics, standardizing KPI definitions, and partnering with Data Engineering to ensure data quality while supporting global stakeholders across multiple

Qualifications

• Bachelor's degree in data analytics, business analytics, supply chain, engineering, statistics or related field.
• 3+ years of experience in data analytics, BI, or supply chain analytics.
• Strong SQL skills and experience querying large datasets.
• Experience building dashboards in Tableau and/or Power BI.

Responsibilities

• Partner with global stakeholders to translate business needs into analytical solutions.
• Develop dashboards, scorecards, and KPI reporting using Tableau and/or Power BI.
• Write SQL queries to extract and analyze data from enterprise systems.
• Automate recurring reports and analytical workflows to improve efficiency.
• Support data governance, data quality, and trusted KPI definitions.

Skills

SQL

Tableau

Power BI

Excel

Analytical thinking

Communication

Global collaboration

AI literacy

Education

Bachelor's degree in data analytics or related

Tools

Oracle ERP

Snowflake

Databricks

Job description

ResMed seeks a Data Analyst to empower data-driven decisions across the Global Distribution, Logistics & Trade organization. You will transform complex data into actionable insights, develop dashboards, and collaborate with regional teams to improve service, cost, and efficiency across the supply chain.

The role requires building self-service analytics, standardizing KPI definitions, and partnering with Data Engineering to ensure data quality while supporting global stakeholders across multiple