Lead Associate - Business Analytics

Who are we ?

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.

About the Role:

As a Lead Associate - Business Analytics, you will play a crucial role in driving business insights and strategic decision-making through data analysis and interpretation. Your contributions will have a direct impact on optimizing operations, enhancing performance, and guiding business growth.

Roles and Responsibilities:

1. Perform data analysis to identify trends, patterns, and opportunities for improvement.
2. Develop predictive models and data visualizations to support decision-making processes.
3. Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
4. Conduct deep-dive analyses to generate actionable insights and recommendations.
5. Monitor and report on key performance indicators to track the success of analytical initiatives.

Qualifications:

• Master's degree in Business Analytics, Statistics, Data Science, Computer Science, or related field.
• Strong analytical skills and proficiency in data manipulation and visualization tools (e.g., SQL, Python, Tableau).
• Experience with statistical modeling and predictive analytics techniques.
• Excellent communication and presentation skills to convey complex data insights to non-technical stakeholders.
• Certifications in relevant analytics tools or methodologies are a plus.