Senior Analytics Lead: Supply Chain Insights

Toyota North America; Plano (TX); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Vehicle purchase discount

Lease vehicle program

Comprehensive health care

Job summary

Toyota North America is seeking a Senior Analyst to join our Supply Chain Business Analytics team. You will lead analytics projects, clean and wrangle data, and partner with stakeholders to deliver data-driven insights that optimize supply chain performance.

You will build dashboards and models using Python, SQL, and BI tools, while exploring AI-enabled approaches and driving adoption across the organization.

Qualifications

• Bachelor’s degree or equivalent experience in a data-focused field.
• Strong coding fundamentals in Python and SQL, with data manipulation skills.
• Experience with ML concepts and scikit-learn a plus.
• Proficiency with data cleaning and visualization tools.

Responsibilities

• Lead end-to-end analytics projects focused on supply chain performance.
• Clean and wrangle data, addressing missing values and outliers.
• Partner with stakeholders to define analytics requirements and deliver solutions.
• Analyze large datasets, including AI-assisted analysis, to identify trends and opportunities.
• Develop and maintain dashboards and data models using BI tools.
• Support change management, training, and adoption of analytics tools.
• Collaborate with cross-functional groups across Toyota.

Skills

Python

SQL

Git

Pandas

NumPy

Tableau

Power BI

AI tools

Data wrangling

Communication

Education

Bachelor’s Degree in Data and Analytics, Management, Business Administration, Computer Science, Supply Chain, or equivalent experience

Tools

Python

SQL

Git

Alteryx

Tableau

Power BI

Job description

Toyota North America is seeking a Senior Analyst to join our Supply Chain Business Analytics team. You will lead analytics projects, clean and wrangle data, and partner with stakeholders to deliver data-driven insights that optimize supply chain performance.

You will build dashboards and models using Python, SQL, and BI tools, while exploring AI-enabled approaches and driving adoption across the organization.