Position title

Myntra Recruitment 2023 - 2+ Years Exp - Jobs Near Me - Free Job Alert - Data Analysis Posts

Job Location

India

Remote work possible

Base Salary

USD15,000-USD21,000 Per month

Qualifications

Graduate

Employment Type

Full-time

Experience

2+ Years Experience Required

Description

Myntra Recruitment 2023

Myntra, a leading online fashion and lifestyle retailer, is looking for talented and analytical individuals to join our team as Data Analysts. As a Data Analyst at Myntra, you will play a crucial role in analyzing large datasets, extracting valuable insights, and driving data-informed decision-making.

Myntra Jobs Near Me

Responsibilities:

Data Analysis: Collect, clean, and analyze large volumes of data to identify patterns, trends, and correlations. Use statistical techniques and data visualization tools to transform complex data into meaningful insights. Collaborate with cross-functional teams to provide data-driven recommendations and support strategic business initiatives.
Reporting and Visualization: Develop and maintain reports, dashboards, and visualizations to effectively communicate key findings and insights to stakeholders. Present data analysis results in a clear, concise, and visually appealing manner. Continuously monitor and evaluate data quality to ensure accuracy and reliability of reporting.
Data-driven Decision-making: Partner with teams across the organization to understand their data requirements and provide analytical support for decision-making processes. Conduct ad hoc analyses and deep dives to answer specific business questions and solve problems. Proactively identify opportunities for process improvement and optimization based on data analysis.

Myntra Careers

Requirements:

Analytical Skills: Possess strong analytical and problem-solving skills to extract insights from complex datasets. Ability to apply statistical techniques and use data analysis tools such as SQL, Python, or R to manipulate and analyze data effectively.
Attention to Detail: Demonstrate a keen eye for detail to ensure data accuracy and quality. Ability to identify data inconsistencies, anomalies, and outliers. Proficiency in data cleaning and data validation techniques.
Communication and Collaboration: Exhibit excellent communication skills, both verbal and written, to effectively present and explain data analysis findings to stakeholders. Ability to work collaboratively in a team environment and communicate with cross-functional teams.

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