Senior Analyst

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 endeavour 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, jewellery, accessories, leisurewear, 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 Name : Analyst III Data in the current business environment is the key for business success. As a senior leader, you will be responsible to convert the immense data that we generate into actionable insights for business and product teams. You should have the ability to challenge the status quo by providing thought leadership, developing team competency, bringing industry best practices and building strong relationships across business and product functions. Key Responsibilities Problem and opportunity assessment Leverage data and voice of customers to understand business and customer problems, emerging customer and competitor trends and areas for product development. Identify, strategize, and prioritise analytics initiatives for quick wins as to fast track mid/long term success High Impact insights and strategic recommendations Define and standardise key performance scorecards with close collaboration with BI Establish frameworks and provide guidance to analysts to derive and share actionable insights including forecast, trend analysis, feature impact and ROI Partner with cross-functional teams to influence roadmap planning and strategic decision-making based on predictive insights and model outputs. Proactively identify opportunities for advanced modelling to solve critical business problems and influence product and marketing strategies. Capabilities Excellent problem solving and comprehensive analytical skills - ability to structure ambiguous problem statements, perform detailed analysis and derive crisp insights Strong statistical modelling expertise : Proven hands-on experience in building and validating models including regression, classification, clustering, time-series forecasting, and experimentation (A/B testing frameworks). Deep proficiency in Python for data analysis and modelling (Pandas, NumPy, scikit-learn, statsmodels, etc.); comfort with SQL and basic data engineering practices. Think strategically, exponentially and understand the ‘big picture’ 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 behaviour Ability to inspire and motivate teams, understand and apply situational leadership as needed. Solid experience in various tools and technologies - SQL, Excel, Python/R, Clickstream analytics, Tableau (is a plus) Experience of working with e-commerce/consumer tech is a plus Extremely positive ‘Can do’ attitude which continuously drives you to take initiatives and demonstrate high degree of self motivation Qualifications Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Analytics, computer science or related fields 6-9 years of experience in data and business analytics with 2+ years of junior-mid analytics leadership experience