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Job DetailsJob Location: Milpitas, CA 95035Position Type: Full TimeEducation Level: 4 Year DegreeSalary Range: $66,300.00 - $83,000.00 Salary/yearJob Shift: DaysTITLE: DATA OPERATIONS ANALYST INTERN FLSA STATUS: EXEMPT REPORTS TO: MANAGER, MANUFACTURING ANALYTICS SUMMARY: Under the direction of the Manager of Manufacturing Analytics, the Fab Operation Data Analyst Intern, will work closely with our operations and data science teams to analyze and optimize our manufacturing operations. The intern will leverage their skills in data science and operations engineering to identify improvement opportunities and provide insights which drive improved operational efficiency. This position is onsite located in Milpitas, CA. ESSENTIAL FUNCTIONS: Collaborates with cross-functional teams to gather and analyze data from various sources within the fab operations Uses Python, MS SQL, and Spotfire dashboards to clean, process, and analyze large datasets Applies machine learning techniques and multivariate analysis to identify patterns and trends in operational data Develops and implements data-driven solutions to optimize and improve manufacturing efficiency Present findings and makes recommendations to stakeholders in a clear and concise manner Develops dashboards and reports to monitor key performance (KPI’s) indicators Partners with other team members or groups to share knowledge and learnings Prepares end of internship report and presentation Adheres to all safety policies and procedures as required Performs other duties of a similar nature or level* QualificationsMINIMUM QUALIFICATIONS: Actively Pursuing a Bachelor’s, Master’s or PhD degree in Data Science, Operations Engineering, or related field or and/or equivalent relevant experience Experience with the following programming in Python and MS SQL Strong understanding of machine learning algorithms and multivariate analysis techniques Knowledge, Skills, and Abilities: Knowledge of software languages such as Python and MS SQL Knowledge of machine learning algorithms and multivariate analysis techniques Knowledge and experience with data visualization tools such as Spotfire, PowerBI, or Tableau Knowledge and ability to use Microsoft Office applications to create spreadsheets, Word documents, and presentations Able to communicate effectively, both verbally and in writing, with employees and management Able to comply with all safety policies and procedures Demonstrated prioritization and organizational skills Demonstrated time management skills Demonstrated problem-solving and trouble shooting skills Flexible and able to prioritize The annual base salary for this full-time position is between $66,362.90-$83,000.00 + benefits. Within the range the individual pay may differ depending on additional factors including job responsibilities, job related knowledge, skills, abilities, education, and experience. The annual base pay range shown is subject to change and may be modified periodically. WORKING CONDITIONS: The Data Operations Analyst Intern works primarily in an office environment from Monday to Friday. The schedule may be altered from time-to-time to meet business or operational needs; may travel from building-to-building as needed. Occasionally, works in a class 100 ESD sensitive wafer fab manufacturing facility; adheres to required safety and dress standards. Stands and walks; performs various fine grasping movements, bends, and twists; operates a computer and enters information using a keyboard, operates a telephone, and other office equipment. May occasionally push, pull, or lift up to 10 pounds. *Other duties of a similar nature or level are duties that may be required, but may not be specifically listed in the job description or posting. TDK/Headway Technologies, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, age, disability, or genetics. Applicants requiring accommodation in order to complete the application process should contact the Headway Human Resources Department.
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