Lead Analytics and Integration Engineer
Core
Design scalable analytics solutions, build automated data pipelines, and develop AI-assisted workflows to analyze vehicle data, manage recalls, and support dealer operations.
Role type
Lead Analytics and Integration Engineer
Builds
Interactive dashboards, automated ETL/ELT pipelines, secure API integrations, and AI-enabled reporting workflows.
Domain
Automotive industry, vehicle safety, recall management, dealer operations
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Data engineering, ETL/ELT pipeline design, API integration, advanced analytics, predictive techniques, root cause analysis, AI/automation implementation, data quality monitoring, dashboard development
Preferred skills
Automotive industry experience, vehicle recall/warranty knowledge, Dealer Management Systems (DMS) expertise, generative AI usage, predictive analytics, machine learning, natural language processing, Microsoft Fabric, Azure Data Factory
Technologies
Qlik Sense, Microsoft Fabric, Azure Data Factory
Responsibilities
Design and maintain scalable analytics solutions for complex datasets; develop executive dashboards and operational reports; build automated data pipelines integrating enterprise systems and Dealer Management Systems; implement secure API integrations; leverage AI to improve analytics and documentation workflows; perform root cause analysis on recall completion barriers.
Seniority
Senior, hands-on IC