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.
