Lead Analytics and Integration Engineer
MSX International (company site, opens in a new tab)5+ yrsChennaiOn-siteDirect career pageEst. 12–22 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop and maintain scalable analytics and BI solutions processing millions of automotive data points to identify trends, risks, and business opportunities.
- Build and support data integrations, ETL/ELT pipelines, and APIs to ensure timely, accurate data flow between enterprise systems and Dealer Management Systems (DMS).
- Leverage AI, automation, and advanced analytics to improve recall campaign effectiveness, dealer and operational performance, and automate reporting workflows.
Minimum Requirements
- Bachelor's degree in Computer Science, Data Analytics, Engineering, Mathematics, Statistics or related discipline.
- Minimum 5 years of experience in analytics engineering, business intelligence, systems integration, data engineering, or advanced analytics.
- Experience with large complex datasets, dashboard development (preferably Qlik Sense), and API integrations is implied.
- Work Experience Required: Minimum five years explicitly mentioned.
Ideal Candidate Profile
- Experienced in the automotive industry with knowledge of vehicle recalls, warranty operations, dealer operations, or aftersales business processes.
- Familiar with Dealer Management Systems (DMS) and vehicle safety or emissions compliance programmes.
- Skilled in applying AI, predictive analytics, machine learning, or natural language processing to business processes and reporting in an international, multi-cultural environment.