Junior Data Analyst (Manufacturing)

Job Summary: The Data Analyst I is responsible for supporting data-driven decision-making by gathering, analyzing, and interpreting data to deliver actionable insights for business stakeholders. This role involves routine data management tasks and basic analytical assignments under the supervision of more experienced analysts or managers. As a foundational role, it offers exposure to best practices in data analysis and contributes to continuous improvement efforts within the organization. Responsibilities and Tasks: Collect, clean, and validate data from various sources to ensure accuracy and reliability. Conduct basic data analysis using statistical methods and tools to identify trends, patterns, and insights.   Prepare reports, dashboards, and visualizations that communicate findings to internal stakeholders.   Support data quality initiatives by identifying discrepancies and assisting with data remediation tasks Maintain documentation of analysis procedures, data sources, and results for knowledge sharing and compliance.  Adhere to established data governance policies and confidentiality requirements Directly support high-priority LEAN and Lean Six Sigma (LSS) projects following Define, Measure, Analyze, Improve, Control (DMAIC) through collection, processing, and analysis (including trends, patterns) of project data Support collection, processing, and analysis of project data with supervision in support of meeting project deadlines and critical business needs. Support analysis of proposed projects and continuous improvement efforts to determine cost-benefit and return on investment Education, Experience/Knowledge & License/Certification: Bachelor’s degree in mathematics, Statistics, Engineering, Business, or a related field. 0-2 years of experience in a data analyst or similar role preferred.     Lean Six Sigma green belt is preferred Ability to obtain and maintain a U.S. security clearance Skills and Abilities: Fundamental understanding of data analysis concepts and statistical techniques. Proficiency in Excel and basic experience with data visualization tools (e.g., Power BI, Tableau). Familiarity with querying databases (e.g., SQL) is a plus. Strong attention to detail and commitment to data accuracy. Effective communication skills and ability to present information clearly. Problem-solving mindset with willingness to learn and adapt. #onsite #LI-AZ1