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Posted 16 June, 2026

Associate - Planning

Myntra
Bengaluru, KA, IN Full Time
Reference: 9799d69c281a0857

Job Description

Who are we?\nMyntra 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.\nWe 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.\nHere, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in.\nWe 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.\nFrom 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.\nWorking 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.\n\nOverview\nAs a Associate - Planning , 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.\nYour efforts will contribute directly to the company's success by ensuring efficient supply chain operations and meeting customer demand effectively.\n\nKey Responsibilities\nDemand Forecasting: Utilize historical sales data, market trends, and other relevant factors to develop accurate demand forecasts.\nData Analysis: Analyze large datasets to identify patterns, trends, and anomalies that impact demand, utilizing tools such as Excel, SQL, Python, and Data Science modelling.\nCollaboration: Work closely with cross-functional teams—including sales, marketing, finance, and supply chain—to gather insights, align on forecast assumptions, and communicate demand expectations.\nForecast Accuracy Improvement: Continuously evaluate and refine forecasting models and methodologies to improve forecast accuracy and reduce forecast error.\nDemand Planning Process: Drive the demand planning process from demand review meetings to consensus forecasting, ensuring alignment across all stakeholders and departments.\nPerformance Metrics: Track and report on key performance indicators (KPIs) such as forecast accuracy and service levels, providing insights and recommendations for improvement.\nMarket Analysis: Monitor market trends, the competitive landscape, and macroeconomic factors to anticipate changes in demand patterns and adjust forecasts accordingly.\nContinuous Improvement: Identify opportunities for process optimization, automation, and system enhancements to streamline demand planning processes and improve efficiency.\n\nWhat We Are Looking For\nSkills Required\nStrong Problem-Solving Ability: Demonstrate structured thinking, robust analytical skills, and a strong orientation towards processes.\nStrong Data Analytics: Highly proficient in Advanced Excel, SQL, and Python.\nHighly 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.\nAgility: Ability to thrive in a fast-paced environment, manage multiple priorities, and adapt to changing business needs.\nCollaboration: Cultivate collaborative relationships with colleagues across departments and provide support to analysts within the team.\nEducation and Experience Required\nEducation: BE/BTech from a Tier 1 institute.\nExperience: 0–2 years of professional experience.\nIndustry Exposure: Professional experience in E-commerce, Retail, or Analytics.

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