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General Motors · 4 hours ago

Data Analyst- Internal Audit

Detroit, MI

Full-time

Hybrid

Mid Level

General Motors is a company focused on leading change towards a world with Zero Crashes, Zero Emissions, and Zero Congestion. They are seeking a Data Analyst to manage data extraction, modeling, and analysis to support internal audit activities and provide insights into business performance.

AutomotiveElectric VehicleInformation ServicesManufacturingTransportation

No H1B

Responsibilities

Work directly with business, IT, and internal audit to analyze complex data, identify anomalies, and provide insights effectively documented to summarize results, assumptions, and conclusions to the team

Consistently deliver quality analytics and ensure key stakeholders are kept informed about project progress and aligned with expected outcomes

Support internal audit annual risk assessment and planning activities

Identify opportunities for cost reduction, process and control improvements and application of advanced analytics and automation in audit processes

Establish relationships with business, IT, and internal audit personnel at appropriate levels and transfer knowledge to both internal and external customers

Demonstrate in-depth technical capabilities and ability to assimilate new knowledge

Stay current with data analytic techniques/technology and business relevant industry trends

Qualification

Data analysisSQL developmentBusiness intelligence toolsData visualization toolsETL processesConsultative approachCommunication skillsOrganizational skillsTechnical writing

Required

Bachelor degree completed in computer science, engineering, accounting, finance or a related field

Experience using business intelligence tools and data bases, applying advanced analytics and data reporting techniques in a large complex environment

Experience using Data Visualizations tools (PowerBI preferred) including desktop and server deployment, or similar front end data solutions (e.g., IBM Cognos, Business Objects, MS Excel, MS Access, Databricks) including ability to design and implement canned / AdHoc reports and complex dashboard solutions

Experience with data acquisition and manipulation, ETL (Knime preferred), modeling, and in writing various SQL development software packages