Spinny is hiring for a fresher entry level Product Data Analyst job in India

Position:

• Title: Product Analyst
• Role: Associate

Company:

• Name: Spinny
• Industry: Retail Motor Vehicles
• Followers: 245,223 on LinkedIn
• Employee Range: 1,001-5,000 employees
• LinkedIn Presence: 3,670 employees on LinkedIn

Location:

• City: Gurugram
• State: Haryana
• Country: India
• Office Location: Sector 48, Gurgaon

Job Type:

• Nature: Full-time
• Category: On-site

Job Mode:

• Work Arrangement: At least 3 days a week in the office (Hybrid)
  

Job Requisition ID:

• Identifier: Not specified in the original job description

Years of Experience:

• Minimum Required: 1 year of relevant experience in the analytics field (even relevant internship experience works)
  
• Preferred: Experience in hypothesis testing/statistics and product or digital analytics

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Company Description:

• Mission: Spinny aims to revolutionize the used car market in India by establishing trust and simplicity in transactions. Their goal is to make car ownership accessible, simple, and delightful.
• Business Model: They follow a full-stack approach, offering value, transparency, and simplicity to customers. Every car undergoes a 200-point quality check and comes with a 5-day money-back guarantee.
• Customer Experience: Spinny provides a seamless and transparent process, from online car selection to physical test drives at their car hubs.
• Technology: The company believes in leveraging technology to build the most loved and trustworthy brand in India. They operate in multiple cities across the country, including Delhi-NCR, Bengaluru, Hyderabad, Pune, Mumbai, Kolkata, Chennai, Ahmedabad, Jaipur, Chandigarh, Indore, Coimbatore, Lucknow, Kochi, and Surat.

Profile Overview:

• Team Dynamics: You will work closely with product managers, marketing, engineering teams, and other business stakeholders to enhance and develop products for customers.
• Core Responsibilities:
  • Data mining using tools like SQL, Python, and Excel.
  • Utilizing website analytics tools such as Google Analytics or Adobe Analytics.
  • Performing hypothesis testing and using frequentist/Bayesian statistics.
  • Generating actionable insights from data to drive business outcomes.
  • Building relationships and communicating effectively with stakeholders to achieve business goals.
• Expectations:
  • Critical and logical thinking abilities are essential.
  • The ability to synthesize recommendations from data and communicate them clearly.
  • An understanding of business and product decision-making processes is crucial.

Qualifications:

• Experience:
  • At least 1 year of relevant experience in the analytics field, particularly in hypothesis testing/statistics and product or digital analytics (even relevant internship experience works).
    
  • Experience with advanced analytics tools such as statistical models, machine learning, Markov chains, and market basket analysis is advantageous.
• Skills:
  • Proficiency in data mining tools like SQL, Python, and Excel.
  • Familiarity with website analytics tools like Google Analytics or Adobe Analytics.
  • Basic understanding of statistics, including hypothesis testing and frequentist/Bayesian statistics.
  • Ability to work collaboratively and build relationships with stakeholders.
  • Strong communication skills to effectively convey ideas and insights.
• Education:
  • A bachelor's or master's degree in engineering or economics from Tier 1 or Tier 2 colleges is required.

Additional Info:

• Work Environment:
  • The role is primarily on-site, with at least 3 days a week required in the office.
  • The office is located in Sector 48, Gurgaon, which is a prime location in Gurugram, Haryana, India.
• Collaboration:
  • The role involves close collaboration with various teams, including product managers, marketing, and engineering teams.
  • The ability to build relationships and work effectively with stakeholders is crucial for success in this role.
• Technological Tools:
  • Proficiency in SQL, Python, and Excel is necessary for data mining tasks.
  • Familiarity with website analytics tools like Google Analytics or Adobe Analytics is essential.
  • Basic knowledge of statistics, including hypothesis testing and frequentist/Bayesian statistics, is required.

Please click here to apply.

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