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Internship Opportunity at Myntra- Data Analyst Internship | Apply NOw

Applications are invited for internship opportunities at Myntra for the Data Analyst position.

About Team

Revenue (Growth) team shapes demand at a user level and leverages rich user insights to unlock growth avenues for the organization. It relies heavily on collaboration and synergies with Business as well as Product teams.

Roles & Responsibilities

Role: Data analyst

Responsibilities:

  • Support business decision making by – formulating hypothesis, structuring the problem, analyze relevant data to verify hypothesis and document effectively to communicate the results with insights
  • Work actively with Product teams to identify user behaviour hypotheses and conduct experiments to validate the same. Post rollout experience ownership and governance will also be a key responsibility.
  • Acquiring data from primary or secondary data sources and maintaining databases.
  • Use statistical methods to analyze data and generate useful business reports.
  • 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

Qualifications & Experience

  • Bachelor’s Degree from an accredited university or college.
  • Work experience as a data analyst or in related analytics area for at least 12 months, exposure to Product teams is a plus
  • Demonstrated experience in handling large data sets and relational databases (SQL exposure a must). Expected to handle problem statements end to end from ideation to implementation.
  • High-competency in written and verbal communication skills (preparation of business documentation a must)
  • High bias for action, able to hustle and 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 and SQL a must. Python and R is a plus.

GET DETAILS AND APPLY : CLICK HERE

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