Myntra Hiring For Data Analyst

Myntra is hiring Fresher and Experienced candidates for Data Analyst Role. The complete details about Drive are as follows.

Job Details :

Myntra Hiring For Data Analyst

Company : Myntra

Job Role : Data Analyst

Degree : Any Bachelor’s degree

Batch : 2024 and Below

Experience : 0 – 2 Year’s

Location : Bangalore, India

Job Overview :

As a Data Analyst at Myntra, you will be responsible for analyzing complex datasets to provide actionable insights that drive business decisions. You will work closely with various teams to support strategic initiatives and enhance our data-driven approach.

Myntra – Required Qualifications & Skills :

  • Engineering Degree from an accredited university or college.
  • Work experience as a data analyst or in related analytics area for at least 18 months
  • Demonstrated experience in handling large data sets and relational databases (SQL exposure a must)
  • High-competency in written and verbal communication skills
  • Able to work with others in a fast-paced, team environment and to interact effectively with all levels of management.
  • Results oriented with excellent communication and interpersonal skills, can work individually with minimal or no supervision
  • Experience with advanced MS Excel, Python or R and SQL a must

Roles and Responsibilities :

  • Support business decisions by – formulating hypothesis, structuring the problem, analyse relevant data to verify hypothesis and prepare documentation to communicate the results with insights
  • Monitor key metrics such as revenue, gross margin, item price, conversion, customer count etc.
  • Influence various teams/stakeholders within the organization (planning, category etc.) to meet goals
  • Analyzing platform and category level metrics to isolate problems/strength areas to solve/leverage
  • Develop & implement strong reporting formats which give a 360 degree view of the health of the portfolio
  • Use statistical methods to analyze data and generate useful business reports and insights
  • Work with management team to create a prioritized list of needs for each business segment.
  • Work with departmental managers to outline the specific data needs for each business method analysis project

To Apply Through Direct link:-

  • Step 1:- Click below Apply Now link.
  • Step 2:– You will be redirected to the career page of the company.
  • Step 3:– Fill in all required details in the form for which job you are applying:
  • Step 4:- Click on Submit Button.
  • Step 5:- Wait for a few days you will get a response from the company soon regarding your interview Process

Apply To All The Jobs ( Fresher’s & Expereinced ) : Click Here

Interested candidates can apply to the drive before link expires.

Apply link : Click Here

Note:– Only shortlisted candidates will receive the call letter for further rounds.

Certainly! Here are ten interview questions specifically for a Data Analyst position:

  1. Can you describe your experience with SQL and provide examples of complex queries you’ve written?
  2. How do you approach data cleaning and preprocessing? What techniques do you use to handle missing or inconsistent data?
  3. Tell me about a project where you had to analyze a large dataset. What tools did you use, and what were the key findings?
  4. How do you ensure the accuracy and integrity of your data analysis?
  5. Describe a time when you had to present your findings to a non-technical audience. How did you ensure they understood the insights?
  6. What experience do you have with data visualization tools like Tableau, Power BI, or others? Can you provide an example of how you used these tools effectively?
  7. How do you determine which metrics or KPIs are most relevant for a given analysis?
  8. Explain a situation where you had to work with stakeholders to understand their data needs. How did you gather and translate their requirements into actionable insights?
  9. What is your approach to statistical analysis and modeling? Can you give an example of a statistical method you’ve used in a past project?
  10. How do you stay current with industry trends and advancements in data analysis?

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