Supply Chain Data Analyst: Forecasting & Inventory

Howmet Aerospace; Fullerton (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Health insurance

401k matching

Paid holidays

Vacation

Job summary

Howmet Aerospace is seeking a Supply Chain Data Analyst to collect, analyze, and interpret data across global supply chain operations. The role collaborates with operations, logistics, and engineering to identify trends and drive data‑driven improvements.

You will own end‑to‑end demand planning, build data pipelines with SQL and Python, and develop dashboards to monitor KPIs and metrics. A strong background in MRP/inventory control and forecasting is required, with on‑site work in Fullerton, CA.

Qualifications

• Bachelor’s degree or equivalent in an analytically focused discipline.
• 5 to 7 years related experience.
• Strong analytical skills for supply chain measurement and process improvement.
• 3+ SQL, Python, proficiency with pandas/NumPy.
• Statistical forecasting experience.
• Experience with data visualization tools (Tableau/Power BI).
• High proficiency in Excel and Word.
• Strong knowledge of MRP and inventory control practices.

Responsibilities

• Own end‑to‑end demand planning and forecasting requirements.
• Develop and maintain data pipelines using SQL and Python.
• Create dashboards and reports to track KPIs and metrics.
• Identify trends and anomalies; recommend process improvements.
• Lead automation projects with cross‑functional teams.
• Collaborate with operations, logistics, and engineering to align data needs.
• Develop data visualizations to communicate insights to stakeholders.
• Maintain inventory control reorder points in the MRP system.

Skills

Data analysis

Forecasting

Inventory control

MRP knowledge

Cross‑functional communication

Process improvement

Education

Bachelor’s degree

Tools

SQL

Python

Tableau

Power BI

Excel

Job description

Howmet Aerospace is seeking a Supply Chain Data Analyst to collect, analyze, and interpret data across global supply chain operations. The role collaborates with operations, logistics, and engineering to identify trends and drive data‑driven improvements.

You will own end‑to‑end demand planning, build data pipelines with SQL and Python, and develop dashboards to monitor KPIs and metrics. A strong background in MRP/inventory control and forecasting is required, with on‑site work in Fullerton, CA.