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Nykaa.com is India's leading beauty and personal care destination, driving strategic analytics to enable business growth. A Staff/Principal Analyst will partner with Analytics, Technology, and Business Leaders to deliver data-driven insights and product analytics that influence strategy and execution.
The role emphasizes building data products, aligning analytics with business outcomes, and communicating insights to executives and teams to improve customer experience and engagement.
Nykaa.com is India's biggest online destination for beauty & personal care. With over 2500+ brands, 5 lakh+ products and delivery all across India, we strive to be the one-stop-shop for a consumer. Nykaa’s vision and mission is to inspire and enable each person to thrive in their own uniqueness by creating a community and being a trusted source of information and products to cater to every lifestyle need, by giving choice, inspiration, authenticity and convenience to diverse consumers.
Data in the current business environment is the key for business success. As a staff/principal analyst , you will be a senior resource working directly with Analytics, Technology & Business Leaders to drive strategic initiatives for Nykaa There are two tenets on which the analytics team operates
1. Explain the Past: To convert the immense data that we generate into actionable insights for business and product teams. This includes helping provide visibility to key metrics and insights along with understanding the key drivers of business growth and sustainability, along with customer experience and engagement.
2. Imagine the Future: Work with the Business and Product teams to identify business opportunities and customer needs. Imagine the possibilities for improving the shopping experience for customers, identifying what longer engagement means for customers and then solve for that path. Build a data based view of what the future looks for Nykaa.
Master's degree in Management (MBA/PGP/PDDBA) with an undergrad in a quantitative field such as Mathematics, Statistics, Economics, Analytics, computer science or related fields