Business Analyst

Pay rate range - $55/hr. to $57/hr. on W2

Schedule:

Fully onsite



Job Description :
Top skills:
Supply Chain forecasting, Supply planning, PSI management, Strong hands-on excel to manage large files, critical thinking, promo 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 quantity, sales price and revenue and track Achievement rate KPIs

• Promotional analysis to develop forecasts, and average sales price

• Own and build PSI at sku level for sellout, sellin, shipment and delivery along with inventory view each week

• Upload forecasts into SCM systems accurately each week

• Develop long term forecast and NPI forecasts and upload into SCM system

• Track inventory arrival and movement to warehouse

• Manage aging, confirm SOP and manage all part of supply chain for assigned category

• Deep understanding of Mobile business

• Lead category calls and get alignment on sales forecast, demand and inventory plan

• Work with Category Management, Finance, supply chain, business operations and logistics team to deliver monthly revenue

Background/Experience

• 6+ years of experience in Ecommerce business planning, supply chain management, 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

• Experience of working with a large national retailer or carrier for consumer electronics would be a plus

• Experience of handling PSI for Mobile business will be a plus

• Knowledge of ML/AI models for forecasting, pricing and promotional analytics for business analytics will be a plus

• 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 Consumer Electronics and/or National Retail is strongly preferred