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# Manufacturing Data Coordinator

- **Company:** LUXOR STAFFING
- **Location:** Sunnyvale, TX, United States
- **Experience:** Starter
- **Salary:** $37,440.0 - $40,560.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Analysis, Microsoft Azure, Cloud Database, Information Systems, Databases, Continuous Integration, Data Security, Data Systems, Data Visualization, R (Programming Language), Python (Programming Language), Operational Data Store, Power BI, Standard Sql, SQL Databases, SQL Server Analysis Services, Technical Data Management Systems, Scripting, Information Technology, Statistics Packages
- **Published:** June 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9652a353ef5fec8a

## About the Role

Do you have experience in Statistical analysis tools?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science, Data Science, Information Systems, Industrial Engineering, or a related field.

 * 1-3 years of experience developing Business Intelligence or data solutions.
 * Experience with Microsoft Power Platform, Power BI, and Azure.
 * Strong knowledge of SQL, DAX, and data modeling.
 * Experience with Python or R programming.
 * Familiarity with Azure DevOps and CI/CD processes.
 * Experience working in manufacturing or operations environments
 * Experience designing dashboards and data visualizations.

## Description

* Develop and maintain applications using Microsoft Power Platform to capture and manage operational data.
 * Design and manage cloud-based data pipelines and databases in Microsoft Azure.
 * Build and maintain Power BI dashboards and reports to track KPIs and business performance.
 * Analyze data to identify trends, solve business problems, and support decision-making.
 * Develop and optimize data models using SQL and SSAS to improve reporting accuracy and efficiency.
 * Ensure data security, governance, and compliance with company standards.
 * Automate processes using scripting languages such as Python or R.
 * Support CI/CD processes and Agile development practices.
 * Collaborate with stakeholders to define metrics, identify opportunities for improvement, and communicate findings to leadership.
 * Provide technical recommendations to improve operational efficiency and business intelligence capabilities.


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