Junior Manufacturing Data Analyst

Support manufacturing operations by collecting, validating, organizing, analyzing, and reporting data to monitor performance and identify opportunities to improve efficiency, quality, and productivity

•Review assigned operational data using established procedures, identify potential bottlenecks and inefficiencies, and prepare findings for review by the Manufacturing Data Analyst

•Collect, clean, validate, and organize manufacturing data from approved sources to update Key Performance Indicators (KPIs) and flag inconsistencies or unexpected results for further review

•Update and maintain established dashboards and recurring reports using approved templates and data sources to monitor production performance, downtime, yield, and quality metrics

•Perform basic descriptive analysis using established methods to identify trends, anomalies, and potential improvement opportunities

•Prepare data summaries that support decisions regarding workflows, resource allocation, and production schedules

•Support root cause analysis for production issues by preparing data, reports, and visualizations under the guidance of the Manufacturing Data Analyst and manufacturing leaders

•Maintain existing data files, reports, and data pipelines, and perform routine quality checks to support data integrity across systems

•Use approved Artificial Intelligence (AI) tools to support assigned data collection, routine analysis, reporting, documentation, and automation activities in accordance with Pride policies and company guidelines, including requirements for information security, confidentiality, accuracy review, and appropriate human oversight

•Assist the Manufacturing Data Analyst in gathering reporting requirements from cross-functional teams, including Engineering and Information Technology, and complete assigned analytical tasks supporting operational improvements

•Prepare reports and presentation materials and communicate findings and progress updates as assigned

•Assist with the implementation of new processes and systems by monitoring performance, documenting results, and escalating issues as needed

•Ensure all safety and security rules are strictly observed, and promptly report any accidents, incidents, or injuries to management

•Complete the annual CTPAT Security Training

•Focus on continuous improvement and consistently demonstrate sound business judgment

•Work effectively with all Pride departments to exceed internal and external expectations

•Pride retains the discretion to modify duties and/or assign other duties as necessary

•Must be a team player, friendly, professional, detail-oriented, and honest

Must have the ability to:

•Multi-task, problem-solve, and prioritize work in a fast-paced environment

•Review data for completeness and accuracy, recognize inconsistencies, and flag potential manufacturing issues for further review

•Work effectively with cross-functional teams

•Complete assigned work independently while following established priorities and seeking guidance when needed

•Communicate findings, questions, and progress updates clearly to the Manufacturing Data Analyst and other stakeholders as assigned

•Support projects by completing assigned tasks, tracking progress, and maintaining organized documentation

•Travel to Pride's domestic facilities as needed

Must have:

•Relentless drive to achieve advancement and continuous improvement

•Strong drive to learn, develop, and support continuous improvement

•Basic understanding of manufacturing processes, supply chain activities, and quality control principles

•Basic knowledge of Six Sigma or Lean Manufacturing methodologies, or a willingness to learn

•Good written and verbal communication skills to explain findings and provide progress updates to stakeholders

•Basic working knowledge of Microsoft Excel and familiarity with Microsoft Power BI, SQL, and other data visualization software

•Strong web navigation and research skills

•Familiarity with machine learning or advanced analytics techniques preferred

•Familiarity with approved AI platforms preferred

•Basic working knowledge of Pride products and systems preferred

•Previous internship or entry-level experience in data analysis within a manufacturing or industrial setting preferred

•Current or previous successful employment experience with Pride Mobility Products Corporation preferred

•Associate’s or Bachelor's degree in Data Analytics, Business Management, Statistics, Industrial Engineering, Information Systems, Supply Chain, Logistics, or a related field preferred

•At least 6 months of experience using spreadsheets to organize, analyze, or report data through employment, an internship, coursework, or project work

•High School Diploma or GED

•Must be legally authorized to work in the United States without sponsorship now, or in the future

•This job description is not intended to be all-inclusive

•In exceptional circumstances, some of the physical requirements of this position may be modified or eliminated as a reasonable accommodation for a person with a disability as defined by the Americans with Disabilities Act

Pride Mobility Products®/Quantum Rehab® is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, physical or mental disability, protected Veteran status, age, or any other characteristic protected by federal, state, or local law.  Pride Mobility Products®/Quantum Rehab® is an Affirmative Action Employer with obligations under VEVRAA and Section 503 of the Rehabilitation Act of 1973 for protected veterans and individuals with disabilities.

If you are a person with a disability, a disabled veteran, or require a reasonable accommodation or assistance in completing an application for employment, please contact our People 1st department at 1-800-800-8586 x1250.