Associate - Planning

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.

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