Business Analyst
Spyne
IT, Sales & Business Development
Gurugram, Haryana, India
Posted on Apr 22, 2026
About Spyne
Spyne is rebuilding the $12B+ automotive software stack from the ground up, giving dealers the AI-powered tools they need to sell more cars, faster. Founded by ex-Amazon, Cox, and OYO operators, Spyne has grown 30x in under three years and now serves 1,500+ dealerships across the US.
The company entered the market through Studio AI, a visual merchandising platform powered by 80+ proprietary AI models that transforms raw car photos into studio-quality images, 360-degree spins, and videos in minutes. Deeply integrated with 60+ dealer tools - from DMS and CRM platforms to major automotive marketplaces - Studio AI became the trusted foundation inside dealer workflows nationwide.
Now Spyne is breaking into a much larger opportunity with Vini AI, a Conversational Voice AI agent that handles inbound and outbound calls, books test drives, follows up on leads, and manages service appointments - 24/7, without human intervention. Vini bookings have grown 7x in six months, and dealers who add Vini on top of Studio see ACV expansions of 4–7x. Together, the two products are converging into a full-stack Retail AI platform covering inventory management, digital retail, and customer relationship management.
Backed by Accel, Vertex Ventures, and Storm Ventures, Spyne is targeting $50M ARR by end of 2026 - and positioning itself to become the category-defining AI platform for the modern dealership.
About the role:
We are looking to hire a Data Analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and deep understanding of the popular data analysis tools and databases
Your responsibilities:
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
• Use statistical methods to analyze data and generate useful business report
• Identify and recommend new ways to save money by streamlining business processes
• Use data to create models that depict trends in the customer base and the consumer population as a whole
• Work with departmental managers to outline the specific data needs for each business method analysis project
• Evaluating changes and updates to source production systems.
Training end users on new reports and dashboards.
• Providing technical expertise on data storage structures, data mining, and data cleansing.
• Skilled in integrating AI assistants into professional workflows for faster output.
Skill sets/Experience we require:
• Proven working experience as a data analyst or business data analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge and experience with reporting packages
(Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Experience with Metabase for data visualization and reporting is highly preferred.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Good written and verbal communication skills.
Pedigree:
• Bachelors’ degree in Mathematics, Economics, Computer Science, Information Management or Statistics
Why Spyne
- Hypergrowth trajectory: 5X revenue in 15 months; targeting 3–4X this year
- High-impact, high-ownership role with direct influence on company revenue outcomes
- Flat, meritocratic culture — autonomy and accountability over hierarchy and politics
- Premium tooling and hardware: you choose your machine and tools
- Young, high-caliber team (average age 25–26) led by seasoned operators building at scale
