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Data Analyst (PLM)

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Hybrid

Data Analyst (PLM)

Kelly

Data Analyst (PLM)

Skills

SQL QueriesTableauData AnalysisPower BI

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

Redmond, WA, USA

Work mode:

Hybrid

Published on:

20 September 2026

What they need


Important information: To be immediately considered, please send an updated version of your resume to [email protected].

Title: Data Analyst - One PLM

Location: Redmond, WA, 98052

Duration: 18 months

W2 Contract (No C2C)

Pay rate: $60 per hour

This position has hybrid work hours. Monday, Tuesday, and Wednesday on site and Thursday and Friday remote. Note: during the first 2 weeks required to be on site all 5 days for training.

GENERAL SUMMARY

Under the specific direction of a senior analyst, supervisor or manager; you will collect, process, map, and analyze data to support the loading of accurate data for Product Lifecycle Management (PLM) system implementation. You will work closely with cross-functional teams to determine how data will be transformed from the current PLM system to the new PLM system and verify and validate the data loads for accuracy to ensure a successful implementation of the PLM. In this role you will be involved with data clean-up in the PLM of data objects and the correction and maintenance of attributes and other information; you will partner with business users to implement data updates in accordance with existing business processes where applicable. You will review systems requirements and business processes, codes, tests, debugs and implement software solutions for the PLM system. You will be expected to operate in an individual contributor role that requires the use of judgment in applying expertise and is expected to work independently with minimal supervision.

PRIMARY RESPONSIBILITIES

  • Support the Project Lead/Work Stream Lead for Bills of Material, Parts and associated documentation
  • Collaborate with stakeholders to understand data needs and business objectives
  • Complete validation and verification of data for multiple loads of data into the PLM tool.
  • Support and complete data clean-up by submitting requirements and collaborating with IT for PLM and ERP data clean-up and maintenance following the IT process for mass updates of data.
  • Develop reports, dashboards, and data visualizations using tools such as Power BI, Tableau, or Excel
  • Analyze data to identify trends, patterns, and insights
  • Translate complex data findings into clear, actionable insights
  • Analyze, define, and develop documentation control methodologies to support the PLM tool
  • Ensure data accuracy, integrity, and consistency across systems
  • Automate data processes and improve reporting efficiency where possible
  • Pull data and analyze and make informed decisions and think critically
  • Perform other related duties as assigned

BASIC QUALIFICATIONS:

  • Bachelor’s Degree is required

PREFERRED/DESIRED QUALIFICATIONS:

  • Bachelor’s degree in data Analytics, Statistics, Mathematics, Computer Science, or a related field
  • Proven experience as a Data Analyst or in a similar role
  • 1-3 years of related experience in a business environment
  • Experience implementing and configuring PLM systems (Experience with Windchill is preferred but not required)
  • Intermediate to advanced knowledge of Microsoft Office applications (Excel, Outlook, Word, PowerPoint)
  • Professional presentation and strong interpersonal communications skills
  • Strong proficiency in data analysis tools (e.g., Excel, SQL)
  • Ability to interpret complex data and communicate insights clearly
  • Experience working in PLM or other collaborative environments
  • Proficient task management including prioritization skills
  • Self-motivated, organized, efficient and process oriented
  • Strong work ethic and Team player
  • Tactful, exercises independent judgment and discretion
  • Works well under pressure in a dynamic environment
  • Must show strong judgment and time management skills
  • Ability to independently write, review, and implement work instruction content in support of new systems and processes.

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