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Data Analyst – Supplier Quality Data Analytics Group
General Motors
Warren, MI
Category
Data Analyst
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Job Description
The Supplier Quality Data Analytics Group is seeking a highly motivated and technically skilled Data Analyst to join our team. This role is critical to enabling data-driven decision-making across the Global Supplier Quality organization.
Requirements
Use modern data analytics and business intelligence tools (Microsoft Power BI, Excel, SharePoint, Python, and Oracle SQL Developer) to perform complex data analysis and develop reports and dashboards for Global Supplier Quality & Development.
Support leadership in data-driven decision making by developing reports, tools, and dashboards that enable effective Advanced Product Quality Planning (APQP).
Partner with Supplier Quality Launch Engineers to report on Component Readiness Valves (CRV), Production Part Approval Process (PPAP), and Run at Rate performance throughout the Global Vehicle, Powertrain, and Software Development Process (GxDP).
Lead integration of the Supplier Process Change Request (SPCR) process into Supplier Quality’s value stream, ensuring accurate, timely data is available and actionable for stakeholders.
Analyze Quality Performance Rating (QPR) metrics to identify trends, failure modes, and improvement opportunities using customized Key Performance Indicators (KPIs).
Gather and document functional and technical requirements from Supplier Quality Engineers and leadership to design reports with drill-down capabilities for multiple organizational levels.
Design, develop, validate, and maintain Power BI datasets, models, and reports to acquire, clean, and transform data from multiple sources.
Build impactful dashboards and visualizations (histograms, bar and pie charts, line plots) that clearly communicate insights and support critical decision making.
Perform ongoing maintenance, updates, and enhancements to reports deployed to Power BI Service, including monitoring scheduled refreshes to ensure accurate and reliable data.
Coordinate cross-functional activities and Change Requests to promote reports from pre-production to production environments.
Utilize Excel (Pivot Tables, Data Models, advanced formulas) and VBA macros to create and automate analytical reports and tools.
Write SQL queries in Oracle SQL Developer to explore data sources, identify relevant tables/fields, and extract data required for analysis and reporting.
Perform data wrangling and data quality checks to structure, cleanse, and validate data used in reporting solutions.
Identify and communicate data quality and system issues, recommending changes and improvements to enhance data integrity and usability.
Benefits
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
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