Production Data Analyst
Industrialelectricmanufacturing
At IEM, we’re not just building innovative electrical distribution systems, we’re shaping the future. IEM is dedicated to delivering world‑class solutions for complex power needs. After 75 years, we continue to push the boundaries of what’s possible. Whether you’re an experienced professional or just starting out, you’ll have the opportunity to contribute, grow, and make a lasting impact on industries that power the world’s most dynamic markets. Job Summary The Production Data Analyst is responsible for collecting, organizing, and maintaining production data from various stages of the manufacturing process. This role ensures the accuracy and integrity of data used for tracking production performance, identifying trends, and supporting decision‑making. The Production Data Analyst works closely with production leads and product leads to ensure data is recorded in a timely and accurate manner. Key Responsibilities Collect and input production data into databases or spreadsheets, ensuring accuracy and consistency. Support lean manufacturing initiatives through data management including cycle times studies, line balancing, machine performance, material usage, downtime, and product output. Maintain and update production logs, records, and databases with the most current information. Ownership of production boards; sustaining up to date and relevant information to production areas. Assist production by providing up to date data on production performance, maintenance logs, machine status, and work orders. Generate basic reports and summaries for production teams, supervisors, and management to support daily operational decisions. Assist in the analysis of data to identify trends, patterns, or inconsistencies that could impact production efficiency or product quality. Work with production leads and supervisors to ensure all production data is captured accurately and reported in a timely manner. Strong analytical skills with the ability to translate data into clear recommendations and actions. Excellent communication skills and the ability to influence operational leaders through data storytelling. Help maintain data integrity by identifying and correcting any errors in the data collection process. Perform data entry and reporting tasks using ERP systems, production software, or Microsoft Excel. Qualifications Bachelor’s degree in engineering, Industrial Engineering, Data Analytics, Manufacturing Technology, or related technical field. Minimum of 2 years of experience in a rapidly evolving manufacturing environment, or an equivalent combination of education, training, and experience. Minimum of 2 years of hands‑on and proven knowledge of Lean manufacturing principles and continuous improvement processes. Strong data entry and organizational skills with attention to detail. Meticulous attention to detail coupled with a dedication to data accuracy. Robust analytical and problem‑solving skills with ability to identify data discrepancies and resolve them. Ability to work independently and prioritize tasks in a fast‑paced environment. Advanced proficiency in Microsoft Office 365 suite, with intermediate‑level skills in MS Excel. Strong skills in SQL, data manipulation, and database structures are an asset. Familiarity with ERP or manufacturing data systems. Ability to work with and interpret production data, including production metrics and machine performance indicators. Proficient verbal and written communication skills. Robust collaboration aptitude. Benefits We offer a comprehensive benefits package designed to support our employees’ well‑being, growth, and long‑term success. Non-Discrimination Statement IEM does not discriminate against any applicant based on any characteristic protected by law. #J-18808-Ljbffr
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- care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All...
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