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Tier-1 brand, metro location, mid-level generalist data role with broad requirements increases competition.
Automotive field-data emphasis raises domain specificity, though analytics and NLP skills remain transferable.
Multiple required data, NLP, and image-processing skills increase screening strictness to medium.
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Analyze vehicle-related data including field and development vehicle data using data visualization and statistical techniques.
Develop and maintain data tools, dashboards, and AI-powered lead management systems to support scalable data analytics.
Collaborate with data pipeline owners, engineers, global stakeholders, and product owners to manage data pipelines and deliver analytics solutions.
Bachelor’s or Master’s degree in any discipline.
Experience in analyzing vehicle data, time series data, and working with data pipelines.
Skills in data cleaning, plausibility checks, NLP integration, and automated data extraction.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable working with multiple data pipelines and collaborating across global and cross-functional teams.
Experienced in building automated data extraction and AI-powered tools for accelerating analytics workflows.
Capable of handling complex data processes such as image preprocessing, augmentation, and creating data layers for analytics.