Demand planner
1 week ago
Transcend-Solutions is currently partnering with a client of ours in Ridgefield Park, NJ for a Demand Forecast Planner.
Contract Duration: 12 Months
Work Location: Ridgefield Park, NJ
Schedule: Mon-Thu on-site, remote Fri
Ecommerce Demand Forecasting Analyst
Qualifications
- Bachelor’s degree in Business, Statistics, Mathematics or a related field
- 2+ years of experience in demand forecasting, preferably in an ecommerce or retail environment
- Strong analytical and problem-solving skills
- Proficient in data analysis tools such as Excel and SQL.
- Excellent communication and presentation skills.
- Ability to work independently and as part of a team.
- Experience with ecommerce platforms and promotions tools is a plus.
Top Skills:
• Data collection and organization: Ability to gather, categorize, and organize promotional data from various sources.
• Baseline sales forecasting: Proficiency in utilizing historical sales data and applying time series forecasting techniques to establish accurate sales forecasts.
• Price elasticity analysis: Strong understanding of conducting price elasticity analysis for different product categories and price points, and developing a standardized menu of sales lift multipliers for use in order forecasting.
KEY RESPONSIBILITES/REQUIREMENTS:
- Data Collection and Organization
o Gather and organize promotional data from internal system sources
o Categorize promotions based on themes (e.g. national promotions, members only offers, product bundles etc)
o Develop a centralized data repository for easy access and analysis
- Baseline Sales Forecasting
o Utilize historical sales data and appropriate time series forecasting techniques to establish sales forecasts.
o Assist in cleansing promotional lifts from the baseline forecast to ensure accuracy
o Support the development a weekly rolling forecast that incorporates baseline sales and promotional impacts
- Price Elasticity Analysis
o Conduct comprehensive price elasticity analysis for different product categories and price points
o Calculate sales lift multiplier based on historical data and promotional performance.
o Develop a standardized menu of sales lift multipliers to be used in order forecasting.
- Reporting and Analysis
o Prepare regular reports on demand forecasts, promotional performance
o Conduct ad-hoc analysis to identify trends and opportunities for improvement.
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Demand planner
1 week ago
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