Senior Product Analyst
1 month ago
Nykaa.com is India's leading online beauty and personal care destination, offering a vast array of products from over 2,500 brands. Our mission is to provide a one-stop-shop for consumers, with a focus on delivering exceptional customer experiences.
We have expanded our offerings to include Nykaa Fashion, a curated marketplace that inspires consumers to make fashion and lifestyle choices that suit their needs. Our platform features a wide range of products across various categories, including western wear, Indian wear, lingerie, footwear, bags, jewelry, accessories, athleisure, home decor, bath, bed, and kitchen.
Nykaa strives to provide valuable insights and advice through various platforms, including the BeautyBook, Nykaa Network, and Nykaa TV. Our vision is to empower individuals to thrive in their uniqueness by creating a community and being a trusted source of information and products.
Job ResponsibilitiesAs a Product Analyst, you will be responsible for uncovering data-driven solutions and insights to real-time product problems. This involves analyzing large datasets, deriving meaningful insights, and communicating these findings to top management and key stakeholders.
Key responsibilities include:
- Managing product metrics reporting and performing data mining and big data analysis to provide strategic advice on business.
- Defining requirements and using data and metrics to draw business/product insights.
- Developing and maintaining visually enriched Tableau dashboards and reports.
- Creating and maintaining automation and data pipeline creation through R/Python scripts.
- Communicating complex technical problems in simple, plain stories.
To be successful in this role, you will need:
- A Bachelor's degree in Engineering, Mathematics, Statistics, or a similar quantitative discipline.
- 4+ years of experience in analytics, with a focus on product analytics.
- Advanced proficiency in SQL, R, or Python/PySpark, Microsoft Excel, Mixpanel/Omniture, or similar tools.
- Experience with data visualization using QuickSight, Tableau, or similar tools.
- Strong analytical skills, with the ability to start from ambiguous problem statements and draw conclusions relevant to the business problem.
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