Sales Analytics Intern – Lean & Data Viz

Tokyo Electron US; Austin (TX); On-site; USD 25,000 - 30,000; Full time

Job summary

Tokyo Electron US is offering a Summer 2027 Internship in Austin, TX for a Sales Business Analyst Intern. Under close supervision, you will apply basic analytical principles, assist in data collection and reporting for Sales Support operations, and help develop data analysis products such as reports, dashboards, and workflows.

This role may work cross-functionally with Information Technology and Operations.

Qualifications

• Pursuing a bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, Economics, Business, or a related field.
• No experience required; internships or relevant academic projects are a plus.

Responsibilities

• Collaborate with other teams to understand data needs
• Participate in data validation and integrity checks
• Participate in user group meetings for knowledge sharing
• Support creation of basic reports and dashboards under guidance
• Support monitoring and maintenance of products (reports, applications, workflows, etc.)
• Support timely decision-making through accurate reporting and foundational data prep that enables smooth operations in Sales
• Identify, understand, and/or assess source data, data processes, and workflows
• Conceive of and propose the most efficient methodology using the available data sources at TEA
• Potentially conceive of AI uses that would increase efficiencies

Skills

Effective communication

Data visualization

Data analysis

Learning agility

Ownership

Education

Bachelor's degree (in progress)

Tools

Power BI

Excel

Power Pivot

SharePoint

Snowflake

Job description

Tokyo Electron US is offering a Summer 2027 Internship in Austin, TX for a Sales Business Analyst Intern. Under close supervision, you will apply basic analytical principles, assist in data collection and reporting for Sales Support operations, and help develop data analysis products such as reports, dashboards, and workflows.

This role may work cross-functionally with Information Technology and Operations.