Myntra WalkIn Drive for Data Analyst in Bangalore| Graduate Apply

Myntra WalkIn Drive for Data Analyst in Bangalore. Graduates with a sturdy analytical mindset, and talent in Excel, SQL, and records evaluation systems are recommended to use. The function offers a dynamic artwork environment in which you can make contributions to information-pushed choice-making. Interested applicants can attend the walk-in interview at the scheduled place.

• Job Role: Data Analyst
• Salary: ₹20K a month
• Location: Bengaluru, Karnataka
• Company: Myntra
• Qualifications: Bachelor’s degree 
• Experience: 1-4 years

Walk-In Details:

Venue: Bengaluru Karnataka 

ABOUT MYNTRA 

Myntra is one of India’s main e-commerce systems that specializes in fashion, lifestyle, and retail merchandise. Established in 2007, the agency is now a subsidiary of Flipkart, supplying a vast sort of clothing, add-ons, footwear, and beauty merchandise from both home and international manufacturers. Myntra is thought of for its person-great interface, customized purchasing enjoyment,  and sturdy customer support. 

The platform makes a specialty of offering a seamless online buying adventure, with competencies like virtual strive-ons, smooth returns, and a large variety of fashion and lifestyle merchandise. Myntra has moreover been at the main fringe of introducing wonderful logo collaborations and seasonal profits sports. The organization values innovation and creativity, striving to supply there-day developments to its clients. With a strong presence in India and a developing attain globally, Myntra continues to set new requirements in online fashion retail.

Job Description: WalkIn Drive for Data Analyst in Bangalore

Overview

We are looking for a professional and stimulated Data Analyst to join our dynamic crew in Bangalore. The excellent candidate can be chargeable for interpreting complex statistics, producing actionable insights, and helping information-pushed decision-making strategies. You will work diligently with bypass-beneficial agencies to ensure the accuracy, reliability, and alertness of our information property.

Key Responsibilities

Data Analysis & Reporting

• Analyze large datasets to perceive tendencies, styles, and key insights.
• Create and hold dashboards and reviews of the overall performance.
• Present findings and hints to stakeholders clearly and concisely.

Data Cleaning & Preparation

• Identify statistics inconsistencies and work on cleansing and validating datasets.
• Extract, remodel, and load (ETL) data from a couple of assets into analytics structures.
• Ensure records accuracy and integrity at some stage in the assessment technique.

Collaboration

• Work carefully with commercial enterprise teams to recognize records” necessities and desires.
• Collaborate with IT and records engineering teams to enhance statistics first-class and accessibility.
• Provide schooling and assist group participants with facts tools and exceptional practices.

Tool Utilization

• Utilize gear which includes SQL, Excel, Python, R, and Power BI/Tableau for records evaluation.
• Implement automation techniques to streamline information extraction and reporting methods.

Business Impact

• Monitor key universal performance signs and symptoms (KPIs) and assess the impact of business employer obligations.
• Support predictive modeling and trend analysis to count on future company needs.
• Identify possibilities for company improvement via facts-driven insights.

Qualifications

1. Bachelor’s/Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related discipline.
2. Proven experience as a Data Analyst or in a comparable analytical feature.
3. Strong expertise in SQL and records visualization gear alongside Power BI, Tableau, or comparable.
4. Experience with programming languages together with Python or R.
5. Strong hassle-solving competencies and interest in detail.
6. Excellent verbal and written verbal exchange talents.

Preferred Skills

• Familiarity with massive records tools like Hadoop, Spark, or Google BigQuery.
• Experience in developing predictive fashions or gadget-studying algorithms.
• Understanding of statistical analysis and methodologies.
• Knowledge of cloud structures that incorporate AWS, Azure, or GCP.

Benefits

• Competitive income and performance-based absolute bonuses.
• Flexible jogging hours and paintings-from-home options.
• Comprehensive medical health insurance for personnel and dependents.
• Opportunities for professional increase and expert improvement.
• Access to trendy-day era and equipment.

How to Apply

Interested applicants are encouraged to publish their resumes together with a cowl letter explaining their suitability for the location.

Click Here to Apply Now

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