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The MCIP Data Engineer will be responsible for developing, maintaining, and optimizing data tools and analytics solutions that support Aptiv’s Material Cost Improvement Program (MCIP). This role focuses heavily on enabling reliable data capture, automation, visualization, and reporting across global stakeholders.
Job Responsibility:
Develop, customize, and maintain Microsoft Lists to support MCIP data collection and tracking
Design and manage multiple cross-linked lists to enable efficient data extraction, automation, and reporting
Implement Lookup fields and validation rules to optimize and error-proof data entry
Customize list views to improve usability, data visualization, and end-user adoption
Automate recurring processes and data synchronization between Microsoft Lists, SharePoint, Excel, and Power BI
Monitor and troubleshoot automation flows to ensure reliability and performance
Use advanced Excel capabilities to analyze, validate, and prepare data: Pivot Tables, Pivot Charts, XLOOKUP, XMATCH, and advanced formulas, Conditional Formatting for data validation and insights
Leverage Power Query to clean, transform, and integrate data from multiple sources
Develop, customize, maintain, optimize, and debug Power BI semantic models, reports, dashboards, and paginated reports
Design efficient data models, including relationships and measures, to support MCIP analytics
Create and maintain DAX measures to support KPIs, cost analysis, and savings tracking
Understand and modify live connections to Power BI datasets, enabling end-users to customize visuals based on their specific data needs
Requirements:
Bachelor's degree in Mechatronics, Electronics, or a related technical field
Experience working with electronics components, manufacturing, supply chain, or cost-related data is strongly preferred
Proven experience delivering reporting and automation solutions in a corporate environment
Strong proficiency in Microsoft Lists, Power Automate, Excel, and Power BI
Solid understanding of Power Query, DAX, and data relationships
Experience integrating data from multiple systems and formats