Data Analyst – Supplier Quality Data Analytics Group

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. The Data Analyst will use modern analytics and business intelligence tools (Power BI SQL/Oracle Python Excel SharePoint and others) to design develop and maintain reports and dashboards that support Global Supplier Quality & Development in monitoring supplier performance reporting and operational efficiency. The ideal candidate will be comfortable working in modern data environments and will help drive decision-making through a solid data analytics foundation.

What Youll Do (Responsibilities)

• 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 Qualitys 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.

Your Skills & Abilities (Required Qualifications)

• Bachelors degree or advanced degree in Computer Science Engineering Information Systems or a related technical field.

• Minimum 1 year of experience in data engineering or analytics roles.

• Proficiency with data visualization tools for data modeling query transformations and dashboard development.

• Strong skills in SQL with experience working in server environments and tools such as Oracle SQL Developer or similar tools.

• Advanced Microsoft Excel capabilities including Pivot Tables Data Models complex formulas and experience writing VBA macros to automate reporting tasks.

• Ability to perform data wrangling quality checks and troubleshooting across multiple data sources.

• Demonstrated experience creating clear intuitive visualizations and dashboards that translate complex data into actionable insights.

• Strong problem-solving skills with the ability to translate business questions from stakeholders into data and reporting requirements.

• Effective communication and collaboration skills with the ability to work across functions and present findings to both technical and non-technical audiences.

• High attention to detail especially regarding data accuracy consistency and interpretation.

• Ability to work independently and collaboratively in a fast-paced environment.

What Will Give You A Competitive Edge (Preferred Qualifications)

• Proficiency with Microsoft Power BI for data modeling Power Query transformations and dashboard development.

• Strong skills in SQL with experience working in Oracle environments and tools such as Oracle SQL Developer.

• Experience with supplier quality data or manufacturing analytics.

• Hands-on experience with modern data analytics and business intelligence tools (Microsoft Power BI Excel SharePoint Python and Oracle SQL Developer)

• Knowledge of Slack automation and SharePoint integration.

• Knowledge in Databricks Dataloop or Microsoft Fabric.

• Familiarity with GM systems such as SQMS MARS and SPCR workflows.

• Prior experience supporting dashboard development and data governance in a corporate setting.

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

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