Myntra

Apprentice - Data Analyst

Myntra

Bengaluru, Karnataka, India · Part Time

2 applicants

Experience
Any
Salary
Openings
1
Posted
4 weeks ago
Work mode
In office
Resume
Required to apply

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Job description

About Myntra

Myntra stands as India's foremost fashion and lifestyle platform where innovation and creativity converge. As trailblazers in fashion e-commerce, the company continuously challenges conventional norms. Driven by a collective passion for fashion and innovation, Myntra fosters an empowering atmosphere that encourages individuality and bold ideas, aiming to broaden fashion horizons across India.

Originating in 2007 as a customization business, Myntra has transformed into a cutting-edge technology and fashion leader. The organization values meritocracy, equal opportunity, intellectual curiosity, and provides its teams with the necessary tools and a supportive environment to excel. Joining Myntra means embracing challenges and growth in a youthful, dynamic setting.

Primary Responsibilities

  • Retrieve data through SQL queries from relational databases effectively.
  • Perform rigorous data cleaning by identifying and removing duplicate entries and correcting inconsistencies to uphold data integrity.
  • Conduct thorough exploratory data analyses to detect important trends, patterns, and irregularities within datasets.
  • Create and upkeep automated, user-friendly business intelligence dashboards utilizing tools such as Tableau, Power BI, or Looker.
  • Produce clear and concise presentations and written reports that simplify complex numerical insights for executive audiences.
  • Collaborate with Data Engineers to enhance data pipeline efficiency and support business units with custom data requests.

Required Skills and Knowledge

  • Proficiency in Excel for data manipulation and analysis.
  • Strong command of SQL for database querying.
  • Familiarity with Python programming for data analysis tasks.

Level

Intern

Tools & software

Python required

How they work

Teamwork & Collaboration

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