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Product Analyst

Spinny

Updated on: 16 September 2024

Additional Details

Website

www.spinny.com

website

Work Location

Gurgaon, India

location

Job Type

FTE

job_type

Batch

Experience(1+ yrs)

batch

Stream Required

With desired skills

stream

Salary

11 - 15 LPA(Expected)

salary

Job Description

If you’re as excited as we are about the power of data to transform businesses and build a

superlative user experience, we have a role for you! We are a team of tinkerers, builders, and dreamers working together toward the mission of making car ownership accessible, simple, and

delightful. In this role, you will work closely with the product managers, marketing and engineering teams, and other business stakeholders to help build and improve products for our customers.

employees, or partners using insights from data.

 

Job location: Sector 48, Gurgaon

Work from office: at least 3 days a week

 

To apply for this role, you must have

1. Experience in data mining skills such as SQL, Python, and Excel

2. Exposure to website analytics tools like Google Analytics or Adobe Analytics and clickstream/hit-level data.

3. Basic understanding of statistics such as hypothesis testing and frequentist/Bayesian statistics.

4. You should be able to generate insights and hypotheses from data and use them to drive business outcomes.

5. The ability to work collaboratively, build relationships, and communicate effectively with stakeholders is crucial for this role.

 

Work experience and educational qualifications:

1. A minimum of 1 year of relevant experience in the analytics field, including experience in hypothesis testing/statistics and product or digital analytics, is preferred.

2. Having advanced analytics skills such as statistical models, machine learning, Markov chains, market basket analysis, etc. would be advantageous.

3. The candidate must be able to grasp the business and product decision-making processes and provide analytics that align with business and product objectives.

4. The educational qualifications required for this role include a bachelor's or master's degree in engineering or economics from Tier 1 or Tier 2 colleges.

 

Technical and analytical capabilities:

  • Ability to think critically and logically
  • Synthesize recommendations from data and communicate ideas succinctly

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