Metrics & Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Metrics & Data Analyst with a contract length of "unknown" and a pay rate of "unknown." Key skills include proficiency in P2P, SAP, Tableau, and Microsoft Excel. Experience in supply chain processes and data modeling is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
June 1, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#SharePoint #Data Modeling #Microsoft Excel #"ETL (Extract #Transform #Load)" #Jira #Data Analysis #Leadership #AI (Artificial Intelligence) #SAP #Tableau
Role description
Metrics and Data Analyst Metrics Creation Complete metric creation requests from senior leaderships and other team members Develop analytical models to predict trends and trigger preventive action Metrics Collection, Analyzing, And Reporting Configuring and performing the Space Supply Chain Quality (SCQ) Metric collection and reporting for executive and customer representative presentations. Responsible for producing monthly performance metrics to report to management. Create interactive data analytics dashboards to measure and improve performance. Collect and perform data analysis on a weekly basis to drive supplier defect reduction and identify areas of opportunity. Operations Transformation Analyze processes to find opportunities/projects for continuous process improvements that can result in cost savings or cost avoidance. Required Skills A working knowledge of P2P and SAP Proficient in developing measurement criteria, developing methods for analyzing data, and displaying metrics A working understanding of Tableau Knowledge of SharePoint development Desired Skills Proficient in Lockheed Martin Procure To Pay (P2P) and SAP Proficient in developing solutions in Tableau Expert in Microsoft Excel Formulas Understanding of JIRA and Confluence Experience with the Supply Chain processes Experience with Suppliers Experience using Artificial Intelligence for data modeling