Strategic Supply Chain Data Analyst

Anduril Industries; Costa Mesa (CA); On-site; USD 112,000 - 149,000; Full time

Benefits offered by this job

Stock options

Healthcare

401(k)

Job summary

Anduril Industries is seeking a Supply Chain Program Analyst to enhance transparency, track KPIs, and generate actionable reports supporting strategic decisions. The role focuses on improving supply chain efficiency and ensuring timely delivery of products to customers.

The candidate will analyze data, collaborate with cross-functional teams, and present clear recommendations to management. Strong visualization and data management skills are essential.

Qualifications

• Bachelor’s degree in data analytics, supply chain, business or related field is required.
• Minimum 3 years of experience in data analytics, reporting and supply chain.
• Strong skills in data visualization and interpreting large datasets.

Responsibilities

• Analytics to track KPIs: on-time delivery, supplier performance, and inventory levels.
• Create dashboards and reports for insights on efficiency and risk areas.
• Collaborate across supply chain functions to validate KPI data.
• Analyze data trends to identify improvement opportunities in operations.
• Present findings to management with clear recommendations.
• Ensure reporting aligns with operational goals and objectives.
• Support new KPI development and standardize procedures.

Skills

Data analytics

Supply chain management

Reporting

Tableau

Power BI

SQL

Excel

ERP systems

Education

Bachelor’s degree in Data Analytics, Supply Chain Management, Business Administration, or related field

Master’s degree is a plus

Tools

Tableau

Power BI

SQL

Excel

ERP systems

Job description

Anduril Industries is seeking a Supply Chain Program Analyst to enhance transparency, track KPIs, and generate actionable reports supporting strategic decisions. The role focuses on improving supply chain efficiency and ensuring timely delivery of products to customers.

The candidate will analyze data, collaborate with cross-functional teams, and present clear recommendations to management. Strong visualization and data management skills are essential.