Responsibilities
• Designing and implementing an organization-wide data collection system, ensuring information accuracy and reliability, and establishing standardized reporting formats.
• Serving as a key resource for process improvement teams and departments regarding quality data management and statistical analysis.
• Identifying opportunities to leverage company data to enhance product and process performance through collaboration with various stakeholders.
• Utilizing advanced data mining and analysis techniques to drive quality improvements and optimize datasets.
• Preparing and delivering regular reports for senior management.

Qualifications
• 3rd or 4th year undergraduate student in Computer Science or a related field
• Proficient in data analysis,



data visualization and data gathering techniques (e.g., API, FTP, Web Scraping) using Python.
• Solid ability to write basic to advanced SQL queries.
• Proficient in shell scripting and Linux.
• Experience with REST APIs is a plus.
• Excellent oral and written communication skills with a positive, can-do attitude.
• Strong problem-solving skills, particularly in product development.
• Understanding of various data structures and common data transformation methods.

Internship Period: 2-3 Months
Location: Remote
Stipend: Fair
Number of Openings: 2

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