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.
- Strong 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