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Salary
≈ $18k – $42k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Staff · 8+ years exp

First seen by Alion on Oct 25, 2026.

Overview
Company
Impact
Profile match
Spinny is a leading full-stack used car retailing platform in India that facilitates the buying and selling of certified pre-owned vehicles. The company manages the end-to-end customer experience by offering multi-point technical inspections, flexible financing solutions, and home delivery options. Headquartered in Gurugram, India, it operates a network of digital channels and physical hubs to bring transparency and trust to the pre-owned automobile market.

As an Analytics Manager, you'll work closely with business, product, design, engineering, and growth teams to build a data-first culture and drive data-backed decision-making. You'll lead a team of analysts to uncover insights from user behavior, track feature performance, and measure product impact across the customer journey from discovery to delivery, and work closely with senior leadership to solve complex business problems through data and convert insights into actionable strategies


Responsibilities:

  • Lead a team of analysts to deliver high-quality, scalable, and business-impacting analyses.
  • Partner cross-functionally with marketing, product, sales, and operations teams to define KPIs and build visibility on performance metrics, track feature usage, and assess the impact of product changes.
  • Build and maintain scalable dashboards and self-serve tools to democratize data across the company.
  • Develop and own frameworks for experimentation and A/B testing to evaluate business and product interventions.
  • Champion data instrumentation efforts with engineering teams to ensure accurate and complete analytics tracking and collaborate with the Data Science team on behavioral segmentation, funnel optimization, and personalization strategies.
  • Mentor junior analysts and build a high-performing analytics team aligned with Spinny's vision.


Requirements:

  • 5-8 years of experience in analytics, preferably in consumer-tech, e-commerce, or automotive domains.
  • Strong knowledge of SQL, data modelling, Excel, and data visualization tools like Tableau, Power BI, or Looker.
  • Exposure to Python/R for data analysis is a strong plus.
  • Understanding of statistics and experimentation methodologies (A/B testing, hypothesis testing).
  • Excellent storytelling, communication skills, and ability to balance attention to detail with big-picture thinking.
  • Comfortable working in fast-paced, cross-functional environments

Skills

Looker, Power BI, SQL, Tableau, analytics

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