Associate - Data Analyst
Myntra
Job Overview
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Job Description
About Myntra
Myntra is India’s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we’ve always believed in disrupting the ordinary.
We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We’re bold in our thinking, agile in our execution, and collaborative in spirit.
Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in.
We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us.
From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us.
Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.
Position Overview
As an Associate - Data Analyst, you will play a critical role in analyzing complex data sets to provide valuable insights and support decision-making processes within the organization. Your responsibilities will involve extracting, transforming, and analyzing data to help drive business strategies and enhance operational efficiencies.
Key Responsibilities
- Collect, clean, and organize data from multiple sources for analysis.
- Analyze and interpret data trends and patterns to identify valuable insights.
- Create visualizations and reports to communicate findings to stakeholders.
- Develop and maintain data models and databases for analytical purposes.
- Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
- Conduct statistical analysis and predictive modeling to support business decision-making.
- Stay updated on industry best practices and tools in data analysis and recommend process improvements.
- Ensure data accuracy, integrity, and security throughout the analysis process.
Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field.
- Proven experience with data analysis, data mining, and statistical modeling.
- Proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI).
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and presentation abilities to convey complex findings effectively.
- Ability to work collaboratively in a team environment and meet project deadlines.
This role offers a dynamic opportunity to leverage your analytical skills and contribute to the growth and success of the organization through data-driven insights and solutions. Join us in making a meaningful impact through the power of data analytics.
Required Skills
- Business Analysis
- Data Analysis
- SQL
- Excel
- Power BI
Key skills/competency
- Data Analysis
- Statistical Modeling
- Data Visualization
- SQL
- Excel
- Power BI
- Data Mining
- Business Intelligence
- Analytical Thinking
- Problem Solving
How to Get Hired at Myntra
- Research Myntra's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for Associate - Data Analyst: Highlight experience with SQL, Excel, and data visualization tools, emphasizing data analysis and statistical modeling skills.
- Showcase data projects: Prepare a portfolio or case studies demonstrating your ability to extract insights, create reports, and solve business problems.
- Master technical skills: Be ready for rigorous assessments in SQL, data manipulation in Excel, and proficiency with Tableau or Power BI.
- Prepare for behavioral questions: Practice articulating how your analytical skills have driven business outcomes and your collaborative approach in past roles.
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