Data Analyst

Role Overview

As a Data Analyst, you will play a vital role in the manufacturing or supply chain environment, acting as the bridge between data analytics and system development. You will collaborate with stakeholders to analyze data for strategic insights and build, automate, and deploy end-to-end digital solutions that optimize daily operational efficiency.

What You Will Do

Your responsibilities will include developing and deploying digital solutions, extracting and analyzing data, and creating interactive dashboards to communicate actionable findings. You will also participate in projects utilizing AI-driven tools and explore integrated AI applications to support data analysis in cloud platforms.

Why It Might Be a Fit

We are looking for a team-oriented, proactive, and self-motivated individual with a solid knowledge of database design, data normalization, and data querying with SQL. You should have a graduation or internship project related to building data pipelines, web applications, or practical data management systems, and proficiency in Google Workspace products.

Requirements

• Less than 2 years of experience (including internships or part-time roles)
• Target majors: Management Information Systems (highly preferred), Information Systems, Information Technology
• Solid knowledge of database design, data normalization, and data querying with SQL
• Understanding of basic data analysis and processing workflows
• Relevant coursework or experience: programming techniques, data structures and algorithms, API integration into systems, using GitHub for code management
• Proficiency in Python for Software Engineering (OOP, Git, experience with API/Web frameworks is a big plus)
• Project experience: Have a graduation or internship project related to building data pipelines, web applications, or practical data management systems
• Proficient in Google Workspace products (Sheets, Docs, etc.)
• Familiarity with basic automation is a plus
• Analytical mindset with strong logical thinking
• Eagerness to learn and adapt to new technologies, especially within cloud environments
• Ability to communicate data insights clearly to non-technical audiences
• Team-oriented, proactive, and self-motivated

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Paid time off
• 401(k) or retirement plan
• Stock options
• Flexible work arrangements
• Professional development opportunities
• A supportive and inclusive work environment

Tagged as: Data Analysis