Statistical Forecasting Analyst

Key Skills

Advanced Analytics, AI technology, Azure, Data Analytics, Data science techniques, Databricks, Forecasting, PowerBI, Python Programming, R Programming, SAP, SAS, SQL, Statistical modeling, Synapse

Job Description

The Forecasting Center of Excellence, embedded in our Global Data Science team, is looking for a Statistical Forecaster to predict consumer demand to connect our iconic brands with millions of consumers worldwide. The Forecasting Center of Excellence innovates and implements data-driven solutions to transform the way we predict demand. As a team member, you will draw on strengths of being able to manipulate data, analyze it, and present your findings to drive the business. Your research and insights will drive everything we do from how we operate as a company to how we engage our consumers.

Responsibilities

• Design, implement and manage statistical forecasts for businesses in a formal demand planning solution
• Utilize best practices in demand planning for product lifecycle management and the evolving retail ecosystem
• Present insights and recommendations to Forecasting COE leadership and business stakeholders discovered from data analysis and statistical and advanced analytic algorithms
• Collaborate with stakeholders including demand planning, S&OP, and technology teams to develop statistical forecasts
• Continuously improve forecast accuracy metrics for statistical forecasts and demand plans

Qualifications

Required Qualifications

• Bachelor’s Degree in Analytics, Computer Science, Mathematics, Statistics, Economics, Engineering, or a related quantitative discipline
• 3+ years relevant work experience in forecasting, demand planning, retail planning, supply chain analytics, or data science
• 2+ years experience working in a forecasting solution such as SAP IBP, Blue Yonder, Kinaxis, Logility, etc. Experience with SAP IBP is preferred
• 2+ years experience with Time Series modeling and/or AI/ML use cases in Forecasting/Demand Planning
• Must be comfortable with a highly kinetic and agile environment
• Committed team player who is proactive and takes ownership of their responsibilities
• Excellent verbal and written communication skills are essential for coordinating across teams

Preferred Qualifications

• Master’s degree in STEM with specialization in data science, machine learning, statistical modeling, and/or optimization
• SQL, PowerBI, R/Python/SAS, or Microsoft Azure (Databricks and Synapse) experience is a plus

EOE/AA: Minorities/Females/Veterans/Disabled