Lead Data Analyst

Job Title: Lead Data Analyst


Implementing new PLM tool


Location: Redmond, WA - Hybrid, team is onsite M-W, remote Thurs-Fri


Employment Type: Contract, potential conversion or extension
Duration of Contract: 12-month to start (Expecting it to be a 17-month project)


W2 Only - no sponsorship offered or C2C


Top 3-5 Skills:

1. Windchill experience- hands on using the tool
2. SAP (familiar hands on with tool, implementation process would be great)
3. Advanced Excel
4. Communication skills/collaboration on projects
5. Documentation skills

Need: Medical device environment- regulated environment


Education Requirements - Bachelor's Degree (Business Management usually does well but open) Masters as well have done well
Certification Requirements - If candidate has CM2 or Apex that is great but not required.


Day-to-Day Responsibilities:

• Data cleanup efforts- mapping attribute
• Data validation- analyze gap
• Data load within Excel
• Running test scripts UAT
• Overall running full process from data clean up to go live with PLM tool

Job Description for Lead Data Analyst

GENERAL SUMMARY Under the specific direction of a senior analyst, supervisor or manager; In this role, you will support the work stream lead in leading a team of analysts, partner with cross-functional stakeholders, and collect, process, map, and analyze data to support the loading of accurate data for PLM (Product Lifecycle Management) 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 a role that requires the use of judgment in applying expertise and is expected to work independently with minimal supervision. The ideal candidate combines strong analytical expertise with leadership skills and a business-oriented mindset.


PRIMARY RESPONSIBILITIES

• • Support the Project Lead/Work Stream Lead for Bills of Material, Parts and associated documentation
• • Support the Work Stream Lead on communication and coordination with the data analysts
• • Analyze large and complex datasets to uncover trends, patterns, and actionable insights
• • Communicate findings clearly to both technical and non-technical stakeholders
• • Apply statistical methods and predictive analytics where appropriate
• • Utilize tools such as SQL, Python/R, Power BI, Tableau, or similar platforms for analysis and visualization
• • Partner with cross-functional teams
• • Act as a support to the work stream lead, guiding stakeholders on data interpretation and decision-making
• • Present insights and recommendations to the work stream lead
• • Collaborate with stakeholders to understand data needs and business objectives
• • Complete validation and verification of data for multiple loads of data into the PLM system.
• • 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 system
• • Ensure data accuracy, integrity, and consistency across systems
• • Automate data processes and improve reporting efficiency where possible
• • Extract data and analyze and make informed decisions and think critically
• • Perform other related duties as assigned

BASIC QUALIFICATIONS:

• Bachelor's degree is required (master's degree preferred)

PREFERRED/DESIRED QUALIFICATIONS:

• • Bachelor's degree in data Analytics, Statistics, Mathematics, Computer Science, or a related field
• • 5+ years of experience in data analyst role
• • 2+ years of leading or mentoring analysts
• • Experience implementing and configuring PLM systems
• • Advanced knowledge of Microsoft Office applications (Outlook, Word, Excel, PowerPoint.
• • Excellent 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
• • Strong analytical and problem-solving skills
• • 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.

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.


Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit .


Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.