Senior Product Analyst
1 month ago
About Us
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.
We launched Nykaa Fashion in 2018, as a curated and managed marketplace with an endeavor to inspire consumers to make fashion and lifestyle choices that best suit them. We have a wide assortment of offerings, across price points, to cater to women, men and children of diverse demographics. Presently, Nykaa Fashion houses 2,000+ brands and over 2 million products across five consumer segments: women, men, kids, tech and home. Within these consumer segments, we merchandise across several categories including western wear, Indian wear, lingerie, footwear, bags, jewelry, accessories, athleisure, home décor, bath, bed and kitchen in order to cater to the diverse consumers’ journeys across our platform. We offer a mix of brands across established national brands, international brands, luxury brands, and emerging labels and designers.
Apart from retailing, Nykaa strives to provide advice through its various platforms, like the BeautyBook (bi-monthly magazine), Nykaa Network - A community of millions of beauty and fashion enthusiasts across India, Nykaa TV - its YouTube channel which engages an audience of over 1 million.
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.
Position Responsibilities:
As a Product Analyst, you will be responsible for finding data driven solutions/insights to real time product problems.
The role involves analyzing large chunks of clickstream & impressions data and deriving meaningful insights out of the same,reporting, pipeline creation, attribution, automation and dashboarding. At the same time, being able to communicate the same to top management and key stakeholders to ensure the insights are also acted upon/executed, end to end.
Support different analytics teams and product management by managing product metrics reporting and performing data mining and big data analysis to provide strategic advice on business.
BASIC QUALIFICATIONS:
- Bachelor’s degree in Engineering, Mathematics, Statistics or similar quantitative discipline.
- 4+ years of experience in analytics. Product analytics would be a plus.
- Experience and Advanced proficiency with SQL and R or Python/PySpark, Microsoft Excel, Mixpanel/Omniture or any product analytics tool.
- Experience defining requirements and using data and metrics to draw business/product insights
- Experience with data visualization using QuickSight, Tableau, or similar tools would be a plus.
- Ability to drive analysis while leveraging knowledge of digital data and tools, to provide insights to the team and helping data customers within the organization to identify next steps within their areas and action on it. End to end ownership of tasks to be delivered, while maintaining the sanctity of timelines and quality of deliverables.
- Identifying insights from the data and providing compelling commentary Effective and persuasive presentation (verbal and written) to project teams and business leaders.
- Striving to convince key company decision makers of the business benefits of the proposed solutions Effective presentation and storyboarding skills with exposure to executive level presentations.
- High degree of proactiveness in analyzing customer behavior using available data to influence changes on the website.
- Understanding the digital ecosystem and best practices and applying this knowledge to work Understands relevant technology applications in his area.
- Ability to work on creating and maintaining visually enriched Tableau dashboards and reports.
- Understanding of automation and data pipeline creation through R/Python scripts.
- Strong Analytical skills – has ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusions relevant to the business problem.
- Demonstrated ability to communicate complex technical problems in simple plain stories.
- Ability to work effectively & independently in a fast-paced environment with tight deadlines.
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