Data Analyst / Data-Scientist (Automobile Domain)

We are seeking a motivated, automotive-industry–experienced candidate who has done a Data Science course and possesses strong data skills. The candidate will work on data ingestion, processing, analysis and reporting — helping convert raw automotive data into actionable intelligence. You will: ● Work with large sets of automotive data (vehicle specifications, market/sales data, external sources) ● Build ETL pipelines, implement web-scraping/data-collection bots, and automate data workflows ● Use SQL, Advanced Excel, and BI tools (PowerBI or similar) to analyze data, create dashboards and reports ● Collaborate with internal teams (data engineers, analysts, product) to deliver clean, structured data and insights ● Contribute to internal data-driven products or services reflecting automotive market intelligence Key Responsibilities ● Design, build, and maintain ETL pipelines to ingest data from internal and external sources (web-scraping, APIs, flat files, etc.) ● Develop and maintain web-scraping scripts/bots to gather automotive data (vehicle specs, prices, market events, etc.) ● Clean, transform, and store data in relational databases for analysis and reporting ● Write and optimize SQL queries for data retrieval, merging, aggregation, and reporting ● Use Advanced Excel for data manipulation, validation, reporting, and PowerBI for dashboards ● Analyze data to extract patterns, trends, and insights relevant to automotive market dynamics ● Support business users with timely and accurate dashboards/reports ● Work with cross-functional teams to understand data requirements and deliver solutions

JATO Dynamics is the world's leading supplier of automotive market intelligence, data, and analytics — providing OEMs, dealerships, fleet/retail businesses, and other stakeholders with comprehensive insights into vehicle specifications, market events, pricing, sales, and trends. Working here means contributing to a global-scale data platform that supports critical decision-making across the automotive value chain.