Top skills:

• Demand Planning
• Business Analysis
• Financial Analysis

Schedule: Fully onsite

KEY RESPONSIBILITIES/REQUIREMENTS:

Essentials/Duties and Responsibilities

• Hands-on to build Sales forecasting using several variables (Traffic, Seasonality, multiple promos etc.)
• Develop weekly/monthly/quarterly sales forecast for both quantity and revenue
• Promotional analysis for attribution, elasticity and ROI/financial analysis
• Build a play book to use Promotional lift and to recommend promos to achieve goals
• Develop monthly/quarterly targets and distribute the targets to various categories/channels and traffic drivers for Ecommerce
• Support supply chain team/process on forecast and demand/supply alignment
• Deep understanding of Mobile promotions, sales and channel actions
• Knowledge of supply chain management, PSI management, supply planning is required.
• Improve long term forecasting w/suitable analytical methodologies
• Use advanced analytics methodologies such as ML/AI forecasting methodologies for sales forecasting
• Knowledge of building agents for supply chain
• Create presentations with compelling data driven story to share with leadership, cross-functional teams to provide insights and recommendations
• Work with Category Management, Finance and Operations team to define and work on gap closures

Background/Experience

• 6+ years of experience in Ecommerce business planning, category management and/or data and analytics-intensive role with an emphasis on Quantitative analytics
• Bachelor's degree in Business/Economics or in math/analytics/engineering is required
• MBA would be a plus
• Hands-on with advanced excel with attention to detail to integrate complex data to build forecasting and to perform analysis
• Knowledge of ML/AI models for forecasting, pricing and promotional analytics for business analytics will be a plus.
• Experience of writing code for ML in Python and building agents will be a plus.
• Experience with Financial analysis to build business cases and to create P&L analysis
• Creative thinker with excellent business acumen, analytical skills and experience with statistical modeling
• High level of confidence, integrity, enthusiasm, executive presence that fits a fast-paced, energetic and proactive organization
• Adaptability, using advanced preparation to quickly pivot throughout the week
• Exceptional presentation skills with good Microsoft PowerPoint capabilities
• Experience of working with Telecom, Technology, Consumer Electronics and/or Retail industry is strongly preferred