Lead Data Analyst

Responsibilities Support the Project Lead/Work Stream Lead for Bills of Material, Parts, and associated documentation. Support communication and coordination efforts with data analysts and cross-functional stakeholders. Collect, process, map, validate, verify, and analyze data to support Product Lifecycle Management (PLM) system implementation. Analyze large and complex datasets to identify trends, patterns, and actionable insights. Communicate findings and recommendations to technical and non-technical stakeholders. Apply statistical methods and predictive analytics where appropriate. Utilize tools such as SQL, Python/R, Power BI, Tableau, Excel, or similar platforms for data analysis and visualization. Collaborate with stakeholders to understand business objectives and data requirements. Support data migration activities, including validation and verification of multiple data loads into the PLM system. Perform data cleanup activities and collaborate with IT teams on PLM and ERP data maintenance and mass data updates. Develop reports, dashboards, and data visualizations. Translate complex data findings into clear, actionable insights. Analyze, define, and develop documentation control methodologies to support PLM processes. Ensure data accuracy, integrity, and consistency across systems. Automate data processes and improve reporting efficiency where possible. Extract, analyze, and interpret data to support informed decision-making. Review system requirements, support software solution implementation, and assist with testing and debugging activities. Support and maintain software-as-a-service (SaaS) and enterprise applications associated with data collection, retrieval, accessibility, and usage. Perform application configuration, setup, updates, access control, and data maintenance activities. Build and produce reports using query and reporting tools. Set up user access and provide application training as needed. Recommend improvements related to application development, maintenance, and system standards. Independently write, review, and implement work instruction content supporting new systems and processes. Perform other related duties as assigned. Qualifications Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, or a related field preferred. Minimum of 4 years of applicable professional experience. 5+ years of experience in a data analyst role preferred. 2+ years of experience leading or mentoring analysts preferred. Experience implementing and configuring PLM systems; experience with Windchill preferred. Advanced proficiency with Microsoft Office applications, including Outlook, Word, Excel, and PowerPoint. Strong proficiency with data analysis tools such as Excel and SQL. Experience with data visualization and reporting tools such as Power BI and Tableau. Experience working in PLM or other collaborative environments. Ability to interpret complex data and communicate insights effectively. Strong analytical, critical thinking, and problem-solving skills. Strong presentation, interpersonal, and communication skills. Strong task management and prioritization abilities. Self-motivated, organized, efficient, and process-oriented. Demonstrated ability to exercise independent judgment and discretion. Ability to work effectively under pressure in a dynamic environment. Strong time management skills and attention to detail. Ability to work independently with minimal supervision. Strong work ethic and ability to work effectively as part of a team. #J-18808-Ljbffr