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Provide expert level business intelligence and data analytics in support of Engineering Services and Warranty Compliance. Utilize a variety of data sources. Collaborate with data-focused colleagues across Customer Services, MBUSA, and Daimler globally to establish best practices for issue identification, tracking, cost reduction, and vehicle quality improvement. Act as Data Steward for warranty schemas and data catalogs, improving BI capabilities through data processes, reporting, automation, dashboard presentations, and tool usage for increased efficiency while maintaining data compliance and quality. Use data visualizations to share actionable insights, track performance KPIs, quantify issues, and predict outcomes. Initiate technological improvements to meet business needs and increase autonomy. This role is core to promoting autonomy and data-driven improvements in customer satisfaction and brand quality.
Job Responsibility:
Develop, maintain and enhance reporting processes to meet business requirements, leveraging platforms such as Snowflake, Databricks, Azure, and Medallion
Maintain various vehicle quality and warranty-related metrics and KPIs
Coordinate and perform complex analyses with specialized departments
Satisfy adhoc requests from Engineering Service and throughout MBUSA, ensuring end-to-end completion, formatted and tailored to business needs
Serve as data steward for the warranty team, managing schemas and data catalogs
Collaborate with IT on data warehouse migrations and implementations
Lead data compliance, quality, mapping, modeling, archiving, and documentation
Develop, maintain, and publish dealer-facing warranty reporting to assist dealers in tracking and controlling warranty costs
Ensure warranty data compliance with regulatory requirements
Provide warranty data to support Legal and Vehicle Compliance & Analysis departments and report to US agencies
Provide expert support on BI and analytics tools
Review the quality of warranty data to identify potential issues with incorrect or outdated data
Requirements:
Degree (accredited) or equivalent work experience with emphasis in Statistics, Data & Analytics, or Business Management
5-7 years of experience in: Automotive Retail, including sales, service, and parts
Automotive technical information systems
Fundamental business practices
Business Management (strategic planning, resource allocation, leadership, HR management, process methods)
Experience in PowerBI, Tableau, Qlik is required
Experience with modern platforms, including Snowflake, Databricks (Medallion architecture), Azure Data Warehouse, and Medallia, is required