Data Analysis and Tool Develop Intern

What you will do: Support data collection, cleaning, validation, and consolidation for business analysis. Prepare data summaries, pivot tables, charts, and basic analysis reports. Assist with data processing and report automation using Excel, Power BI, Python, SQL, or similar tools. Use AI tools or AI agents to support data processing, document summarization, report generation, and workflow automation. Help maintain data templates, analysis files, dashboards, and reporting outputs. Support ad hoc data analysis, issue investigation, and result verification. The skills you bring: Undergraduate or master’s student in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related field. Good knowledge of Excel, including formulas, pivot tables, and basic data analysis functions. Basic experience with Python, SQL, Power BI, Tableau, or similar tools is preferred. Interest in using AI tools or AI agents to improve work efficiency and automate repetitive data tasks. Detail-oriented, responsible, and logical, with good data sensitivity. Good English reading and writing skills. Able to work at least 3 days per week and commit to 3 months or longer.

Responsibilities

Support data collection, cleaning, validation, and consolidation for business analysis; Prepare data summaries, pivot tables, charts, and basic analysis reports; Assist with data processing and report automation using Excel, Power BI, Python, SQL, or similar tools; Use AI tools or AI agents to support data processing, document summarization, report generation, and workflow automation; Help maintain data templates, analysis files, dashboards, and reporting outputs; Support ad hoc data analysis, issue investigation, and result verification

Requirements

Undergraduate or master’s student in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related field; Good knowledge of Excel, including formulas, pivot tables, and basic data analysis functions; Interest in using AI tools or AI agents to improve work efficiency and automate repetitive data tasks; Detail-oriented, responsible, and logical, with good data sensitivity; Good English reading and writing skills; Able to work at least 3 days per week and commit to 3 months or longer

Nice to have

Basic experience with Python, SQL, Power BI, Tableau, or similar tools is preferred

Benefits

Hands-on experience in real business data processing and analysis; Exposure to data cleaning, KPI calculation, report automation, visualization, and AI-assisted workflows; Opportunities to learn how AI tools and AI agents can be applied in business reporting and data analysis scenarios; Experience working with business teams to improve analytical thinking and problem-solving skills