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Staff Analyst

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Onsite

Staff Analyst

Nykaa

Staff Analyst

Skills

SQL QueriesE-commerce WebsitesTableauPythonProduct StrategyRData AnalysisMachine Learning

22 days ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

3 October 2026

What they need


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. 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.

The Role - Staff/Principal Analyst - Analytics

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.

Key Responsibilities

● Partner closely with the executive leaders and their office to identify strategic opportunities for the organisation. Solve complex, open ended problems along with business and product.

● Build Data and Analytical Products that provide strategic capability to the business.

● Partner closely with product teams to instrument and analyze product adoption and impact, influence the way product capabilities get built, and enhance product led growth. Influence product roadmap by providing answers to key business questions and enabling product teams take objective decisions

● Partner with the Business teams and enable visibility into input and output metrics, insights into drivers of customers and category growth. Influence category buying, expansion, assortment and pricing strategies.

● Provide thought leadership in analysts and stakeholders using data based insights and analysis

● Build best-in-class analytics solutions to democratize deep product metrics across the organization

● Communicating findings to stakeholders and taking initiatives for improving business performance

Desired Qualifications, Experience and Competencies

Qualifications :

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

Experience :

● 8-10 years of work experience in Business/Product Analytics in a reputable tech platform company or top tier Multinational Companies/Management Consulting

● Experience of working with ecommerce/consumer tech is a plus

● Experience in strategic analytics/analytic consulting

Key Competencies

● Excellent problem solving and comprehensive analytical skills - ability to structure ambiguous problem statements, perform detailed analysis and derive crisp insights.

● Think strategically, exponentially and understand the ‘big picture’. Ability to build analytical frameworks for open ended problems and link them to key business outcomes.

● Strong communication and presentation skills - ability to connect the dots through data, communicate and present with impact to all levels of the organization

● Intellectual Curiosity - Initiative to dig into the who, why, where, what & how. Curiosity about business and customer behavior

● Strong experience in various tools and technologies - SQL, Excel, Python/R, Clickstream analytics, Tableau (is a plus)

● Experience of developing ML models (RF, Boosting, Chaid, Market Mix Modeling, Clustering, Forecasting etc.)

● Extremely positive ‘Can do’ attitude which continuously drives you to take initiatives and demonstrate high degree of self motivation

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