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MSX International

Lead Analytics and Integration Engineer

Posted 9 Days Ago
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In-Office
Chennai, Tamil Nadu, IND
Senior level
In-Office
Chennai, Tamil Nadu, IND
Senior level
Designs scalable analytics solutions, Qlik Sense dashboards, ETL/ELT pipelines, APIs, and enterprise integrations for automotive recall and compliance data. Analyzes VINs, warranty claims, dealer records, and customer data to identify risks and opportunities. Improves data quality, reporting, automation, and platform resilience while applying responsible AI, predictive analytics, and machine learning to enhance recall performance, dealer communications, regulatory compliance, and operational decision-making.
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Company Description

Company Overview:
https://www.msxi.com/en/
At MSX International, we’ve been partnering with leading automotive companies for over 25 years, helping them enhance their retail strategies and streamline operations. Our expertise in areas like dealer performance, repair optimization, and consumer engagement positions us as a trusted partner in the evolving mobility industry.

Job Description

Key Responsibilities of the Role:

Analytics & Business Intelligence

  • Design, develop and maintain scalable analytics solutions using very large and complex datasets.
  • Analyse millions of Vehicle Identification Numbers (VINs), warranty claims, dealer repair records, recall campaign information and customer data to identify trends, compliance risks and business opportunities.
  • Develop and maintain interactive dashboards using Qlik Sense that provide visibility of recall completion, dealer performance, campaign effectiveness and regulatory compliance.
  • Develop executive dashboards, operational reports and performance metrics that support strategic and operational decision-making.
  • Translate complex analytical findings into clear, practical recommendations that improve customer safety, dealer performance and operational effectiveness.
  • Perform root cause analysis to identify barriers to recall completion and recommend corrective actions.
  • Identify emerging trends, risks and opportunities using advanced analytics and predictive techniques where appropriate.

Data Engineering, Integration & Automation

  • Design, develop and maintain automated Extract, Transform and Load (ETL) and Extract, Load and Transform (ELT)data pipelines integrating multiple enterprise systems.
  • Design, implement and support reliable data integrations between Ford enterprise systems and Dealer Management Systems (DMS)to ensure dealers receive timely, accurate and complete recall, safety and emissions campaign information.
  • Develop and maintain secure Application Programming Interface (API)integrations and other enterprise data interfaces.
  • Monitor data quality, investigate anomalies and implement controls that improve data integrity, reliability and reporting accuracy.
  • Develop automated reporting and analytical workflows that improve efficiency, reduce manual effort and support timely business decisions.
  • Continuously improve the performance, scalability and resilience of analytics, reporting and integration platforms.

 

 

Artificial Intelligence, Innovation & Continuous Improvement

  • Identify and implement opportunities to responsibly leverage Artificial Intelligence (AI), automation and advanced analytics to improve business processes and operational efficiency.
  • Develop AI-assisted workflows that accelerate analytics, reporting, technical documentation and dealer communications while ensuring appropriate governance, validation and human oversight.
  • Improve the efficiency, quality and consistency of dealer bulletins, recall publications and customer communications through responsible use of AI-enabled tools.
  • Evaluate emerging technologies and recommend practical solutions that improve recall performance, regulatory compliance and customer outcomes.
  • Champion a culture of continuous improvement by identifying opportunities to simplify processes, improve data quality, reduce manual effort and enhance business decision-making.

Qualifications

  • Bachelor's degree in Computer Science, Data Analytics, Engineering, Mathematics, Statistics or a related discipline.
  • Minimum five years' experience in analytics engineering, business intelligence, systems integration, data engineering or advanced analytics.

Additional Information

Highly Desirable Qualifications and Experience

  • Experience within the automotive industry.
  • Knowledge of vehicle recalls, warranty operations, dealer operations or aftersales business processes.
  • Experience supporting vehicle safety or emissions compliance programmes.
  • Experience working with Dealer Management Systems (DMS).
  • Experience using Artificial Intelligence (AI), including generative AI, to improve analytics, reporting, technical documentation or business processes.
  • Experience with predictive analytics, machine learning or natural language processing.
  • Experience working across multiple countries and cultures within the International Markets Group.
  • Experience with Microsoft Fabric or Azure Data Factory.

 

MSX International has been a trusted partner to leading automotive OEMs and mobility companies worldwide, providing strategic support to transform retail operations. With a strong foundation built on Dealer Performance Improvement, Repair Optimization, and Consumer Engagement, we empower businesses by integrating people, processes, and technology to drive measurable success. As the mobility industry undergoes rapid transformation, MSX International stands as a catalyst for innovation, equipping clients with cutting-edge tools and deep industry expertise to navigate evolving market dynamics. MSX International remains the go-to partner for leading automotive OEMs, offering innovative, research-driven strategies to elevate retail operations and accelerate business growth.

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