Work Location: Plano, TX,
Jon Title: Ecommerce Business Planning and Analysis Manager
Schedule: Hybrid, Mon-Thu onsite, Fri WFH
Top skills:
- Strong Business analytics
- Forecasting
- Promotion Analysis and business cases
- Advanced Excel for complex analysis
KEY RESPONSIBILITES/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
• Improve long term forecasting w/suitable analytical methodologies
• Use advanced analytics methodologies such as ML/AI forecasting methodologies for sales forecasting
• 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 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