Associate - Planning

About The Company

Who are we? Myntra is India’s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we’ve always believed in disrupting the ordinary. We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We’re bold in our thinking, agile in our execution, and collaborative in spirit. Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in. We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us. From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us. Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities. Overview As a Demand Planning Analyst, you will play a critical role in forecasting and managing demand to optimize supply chain resource planning and ensure customer satisfaction. You will utilize data analysis, statistical techniques, and market insights to develop accurate demand forecasts and drive strategic decision-making within the organization. Your efforts will contribute directly to the company's success by ensuring efficient supply chain operations and meeting customer demand effectively. Responsibilities 1. Demand Forecasting: Utilize historical sales data, market trends, and other relevant factors to develop accurate demand forecasts. 2. Data Analysis: Analyze large datasets to identify patterns, trends, and anomalies that impact demand, utilizing tools such as Excel, SQL, Python & Data Science modelling. 3. Collaboration: Work closely with cross-functional teams including sales, marketing, finance, and supply chain to gather insights, align on forecast assumptions, and communicate demand expectations. 4. Forecast Accuracy Improvement: Continuously evaluate and refine forecasting models and methodologies to improve forecast accuracy and reduce forecast error. 5. Demand Planning Process: Drive the demand planning process from demand review meetings to consensus forecasting, ensuring alignment across all stakeholders and departments. 6. Performance Metrics: Track and report on key performance indicators (KPIs) such as forecast accuracy, service levels, providing insights and recommendations for improvement. 7. Market Analysis: Monitor market trends, competitive landscape, and macroeconomic factors to anticipate changes in demand patterns and adjust forecasts accordingly. 8. Continuous Improvement: Identify opportunities for process optimization, automation, and system enhancements to streamline demand planning processes and improve efficiency. What we are looking for: Skills Required:  Strong problem-solving ability – The ideal candidate should demonstrate structured thinking, robust analytical skills, and a strong orientation towards processes.  Strong in Data analytics –Should be highly proficient in Advances Excel, SQL & Python  Highly Action Oriented – At Myntra, we foster a culture that values proactive action and swift implementation. The incoming candidate should demonstrate ownership of projects from conceptualization through to execution.  Ability to thrive in a fast-paced environment, manage multiple priorities, and adapt to changing business needs.  Ability to collaborate - Cultivate collaborative relationships with colleagues across departments and provide support to analysts within the team. Education and Experience Required:  BE/BTech from Tier 1 institute & with a professional experience of 0-2 years  Professional experience in e-commerce / Retail / Analytics

Required Skills planning, assortment, data analytics