Senior Product Analyst
Spinny · Gurgaon
- Experience3–5 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelmid
- Posted2 Sept 2026
About Spinny
Spinny is hiring in Gurgaon in automotive mobility. This role looks for around 3+ years of experience.
Skills
- SQL
- Python
- Microsoft Excel
- Google Analytics
- Adobe Analytics
- clickstream data
- hypothesis testing
- frequentist statistics
- Bayesian statistics
- product analytics
- digital analytics
- statistical analysis
The role
A product analyst at an automotive mobility company turns SQL, Python, and Microsoft Excel data into product insights, applying product analytics and statistical analysis to guide customer and business decisions. Website analytics and machine learning further support evidence-based product improvement.
Full job description
Passionate, collaborative, data-driven individuals to join our Product team. We are a team of tinkerers, builders, and dreamers working together to make car ownership accessible, simple, and delightful. In this role, you will work closely with the engineers, designers, and other business stakeholders to help build and improve products for our customers, employees, or partners.
Requirements:
Experience in data mining skills such as SQL, Python, and Excel.
Exposure to website analytics tools like Google Analytics or Adobe Analytics and clickstream/hit-level data.
Basic understanding of statistics, including hypothesis testing and frequentist/Bayesian approaches.
You should be able to generate insights and hypotheses from data and use them to drive business outcomes.
The ability to work collaboratively, build relationships, and communicate effectively with stakeholders is crucial for this role.
A minimum of 4-6 years of relevant experience in the analytics field, including experience in hypothesis testing/statistics and product or digital analytics, is preferred.
Having advanced analytics skills, such as statistical models, machine learning, Markov chains, market basket analysis, etc., would be advantageous.
The candidate must be able to grasp the business and product decision-making processes and provide analytics that align with business and product objectives.
Bachelor's degree in engineering or economics from Tier 1 or Tier 2 colleges.