Lead Analyst, ERP Workstream, Individual Contributor

  • Location: Washington, United States
  • Type: Contract
  • Job ID: 10395
  • Work Setting: On-Site
  • Posted: June 15, 2026
  • Closing Date: December 31, 2026
  • Tax Status: W2

Lead Analyst, ERP Workstream
12 month contract
Must be able to work on a W2
Hybrid in Redmond, WA
 
Requirements
  • 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 required; Master’s degree preferred.
  • 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.
 
 
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