The Role
Work with Customer Success, Onboarding, Operations and Product to analyze business performance, build dashboards, automate reporting, define metrics, perform root-cause analysis, and present insights. Use SQL, Python, Excel and BI tools to extract data, improve processes, and create AI-supported internal automations and prototypes.
Summary Generated by Built In
About Spyne
Spyne is building the AI operating system for automotive retail. Starting with visual merchandising and expanding into conversational AI, Spyne helps dealers move inventory faster, respond to buyers instantly, and run more of the dealership stack with AI.
Founded by operators from Amazon, Cox, and OYO, Spyne has grown 30x in under three years and now powers 1,500+ dealerships across the US. Its products, Studio AI and Vini AI, are coming together into a full-stack Retail AI platform for modern dealerships.
Backed by Accel, Vertex Ventures, and Storm Ventures, Spyne is emerging as one of the category leaders redefining how dealerships operate in the AI era.
- Studio AI: https://www.youtube.com/watch?v=j0_CsQpCbwg
- Vini AI: https://www.youtube.com/watch?v=WFjhPWp6gJU
About the Role
As a Business Analyst at Spyne, you’ll work closely with Customer Success, Onboarding, Operations, Product and Leadership teams to help them make better decisions using data.
You’ll analyze business performance, build dashboards, automate reporting, and identify opportunities to improve customer experience and operational efficiency.
We’re also looking for someone who is comfortable using AI tools to work faster, automate repetitive tasks, and build simple internal solutions.
- Location: Gurgaon (On site)
- Timings: 6PM - 03AM (US Business Hours)
What You’ll Do
- Partner with Customer Success, Onboarding and Operations teams to understand business problems.
- Build dashboards that help teams track performance and make decisions.
- Analyze data to identify trends, bottlenecks and improvement opportunities.
- Write SQL queries to extract and analyze data.
- Use Python and Excel to automate reports and recurring tasks.
- Define and track key business metrics.
- Perform root cause analysis and support experiments to improve business outcomes.
- Present insights in a clear and simple way to stakeholders.
- Build self-serve dashboards using Tableau, Power BI or Metabase.
- Work with Product, Engineering and Business teams to improve processes.
AI will be a big part of your work.
We’re looking for someone who actively uses AI tools to improve productivity.
This could include:
- Using AI to analyze data faster.
- Building dashboards with AI assistance.
- Creating simple internal tools or prototypes.
- Automating repetitive workflows.
- Using AI coding assistants to speed up development.
- Exploring new AI tools and identifying practical use cases for the business.
You don’t need experience with every AI tool, but you should enjoy learning and using AI in your day-to-day work.
What We’re Looking For
- 1–3 years of experience in Business Analytics, Data Analytics or Business Intelligence.
- Strong SQL skills.
- Good knowledge of Excel and Python.
- Experience with Tableau, Power BI, Metabase or similar dashboarding tools.
- Strong analytical and problem-solving skills.
- Ability to explain data and insights in a simple way.
- Comfortable working with different teams and stakeholders.
- Curious, proactive and willing to take ownership.
- Interest in using AI to improve the way work gets done.
Good to Have
- Engineering degree from a Tier 1 or Tier 2 college.
- Experience in a SaaS or startup environment.
- Knowledge of data warehouses like Snowflake or BigQuery.
- Experience building internal automation tools or AI-powered workflows.
Why Join Spyne?
- Work on products that are solving real business problems using AI.
- Be part of a fast-growing company backed by leading investors.
- Take ownership from Day 1 and see your work create real impact.
- Learn by working closely with experienced product, engineering and business teams.
- Grow quickly in a high-performance environment.
If you enjoy working with data, solving business problems, and using AI to build smarter ways of working, we’d love to hear from you.
Skills Required
- 1-3 years of experience in Business Analytics, Data Analytics or Business Intelligence
- Strong SQL skills / ability to write SQL queries
- Proficient in Python
- Proficient in Excel
- Experience with Tableau, Power BI, Metabase or similar dashboarding tools
- Strong analytical and problem-solving skills
- Ability to explain data and insights simply to stakeholders
- Comfortable working with cross-functional teams and stakeholders
- Curious, proactive and willing to take ownership
- Interest and active use of AI tools to improve productivity
- Engineering degree from a Tier 1 or Tier 2 college
- Experience in a SaaS or startup environment
- Knowledge of data warehouses like Snowflake or BigQuery
- Experience building internal automation tools or AI-powered workflows
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The Company
What We Do
One of the biggest pain points for any online seller is to showcase their products in the best possible manner to grab customer attention and increase conversions. Spyne is transforming the way businesses create their catalog using state-of-the-art AI technology. No studio. No photography skills. No complex processes. Just Spyne to create stunning catalogs that drive 40% better conversions. We are building first-of-its-kind AI that would transform the way businesses will create high-impact catalogs without the need for a physical studio. We are building computer vision and AI technology to automate image processing workflows. This will help any business or marketplace shoot, edit, and publish product visuals at scale, at a fraction of the cost, and time. We are helping large e-commerce marketplaces in the automotive, food, fashion, real estate, and retail industry create and upgrade high-quality visual catalogs at scale. Founded in 2018, Spyne is headquartered in Gurugram, India serving 80+ customers across 15+ countries including Amazon India, Karvi, OLACars, and The Luxury Closet Dubai. We are backed by Accel Partners, Storm Ventures, and other marquee investors.
