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
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.
- 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).
- 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.
Comments
Post a Comment
Please feel free to share your thoughts and discuss.