GForce Life Sciences

Lead Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Lead Data Analyst for a 12-month contract in Redmond, WA, offering hybrid work. Key skills include SQL, Python/R, Power BI, and Tableau. Requires a bachelor’s degree, 4+ years of experience, and PLM system familiarity, preferably Windchill.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 13, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Redmond, WA
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🧠 - Skills detailed
#BI (Business Intelligence) #Tableau #Visualization #Mathematics #Data Accuracy #SQL (Structured Query Language) #Documentation #Statistics #"ETL (Extract #Transform #Load)" #Debugging #R #Microsoft Power BI #Data Analysis #Datasets #Data Migration #SaaS (Software as a Service) #Python #Computer Science #Migration
Role description
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.