Analyst - II

Job Title: Analyst - II Company: Nykaa Job Category: Data Science Roles & Responsibilities: The Role – Analyst II (Analytics) business reporting, dashboards, category performance monitoring, structured diagnostic analyses, pipeline building and ML/AI modeling. You will work with category, business, product and analytics stakeholders to convert business questions into reliable insights to support decision\-making. Key Responsibilities * Own daily/monthly MIS, category trackers, hourly sales reports, and recurring performance scorecards * Build, maintain, QA, and improve Tableau dashboards and automated reporting layers * Support Pink Sale and other campaign/event trackers, traffic dashboards, and post\-sale summaries * Maintain scheduled reports, validate Databricks/table pipelines, document logic, and reduce manual effort * Build, validate, and deploy practical predictive models (e.g., user churn prediction, customer segmentation, demand forecasting) to support targeted business strategies. * Democratize analytical assets and self\-serve metrics to enable faster, data\-driven decision\-making across business units. Work Location: Bengaluru, Karnataka, India Availability: Full time

* Problem Solving \& Analytical Thinking: Strong ability to structure structured or semi\-ambiguous problem statements, perform hands\-on quantitative analysis, and derive clear, logical conclusions. * Technical \& Tools Proficiency: * Advanced SQL capabilities for complex data extraction, joining, and aggregation. * Deep proficiency in Python or R for statistical analysis and data manipulation (Pandas, NumPy, Scikit\-learn, etc.). * Practical experience with visualization tools such as Databricks, Tableau, PowerBI * Exposure to Clickstream/Web Analytics tools (e.g., Mixpanel, Google Analytics, Amplitude) * Statistical Modeling \& Experimentation: Statistical significance and Hypothesis testing, Hands\-on experience applying core machine learning algorithms (Regression, Classification, Clustering, Time\-Series) and designing A/B testing frameworks. * Communication \& Stakeholder Management: Strong verbal and written communication skills with the ability to "connect the dots" through data and present clear narratives to cross\-functional peers. * Ownership \& Attitude: High degree of self\-motivation, intellectual curiosity ("the drive to dig into the who, why, and how"), and an energetic "can\-do" attitude towards problem\-solving. Qualifications \& Experience * Education: Bachelor’s or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Analytics, or Engineering. * Experience: 2-3 years of hands\-on experience in Data/Business/Product Analytics. * Prior experience in E\-commerce, D2C, Consumer Tech, or Retail platforms is highly preferred. Key Skills: Python, SQL, Pandas, NumPy, Statistics, Machine Learning, Tableau Salary: Not disclosed