Senior Forecasting Analyst (Hybrid)

 

Foods people love. Brands people trust. And a career that nourishes your future like no other.

 

If you're driven by the passion to do something meaningful that changes lives, Nestlé is the place for you. Nestlé USA is one of seven operating companies that make up Nestlé’s presence in the United States. We're in 97% of American homes, and as the leading food and beverage company, our goals are to continue to deliver quality food and beverage products, strengthen our local communities, and reduce our environmental and climate impact.

 

We’re determined to challenge the status quo and be better tomorrow than we are today. As individuals and teams, we embrace our entrepreneurial culture and have created a workplace where collaboration is essential, courage is rewarded, speed is expected, and agility is the norm to delight our consumers every single day. Here, you will find limitless opportunities to learn and advance your career and feel empowered to succeed in the workplace and beyond. Because our focus is not only on nourishing our customers, but also about enriching you.

 

This position is not eligible for Visa Sponsorship.

 

 

Position Summary:

The Forecasting and Modeling Sr. Analyst works within our Digital organization to 1) develop complex predictive analytics and statistical forecasting models on cloud-based analytics platforms to improve forecast accuracy and bias reduction, and 2) develop analytical solutions to solve ‘real-time’ business issues/challenges. As a statistical modeling senior analyst, you will work with the Supply Chain planning team and the Enterprise Analytics team within the broader Digital and E-Commerce team and participate in problem framing, solution design, testing and implementing forecasting solutions under the guidance of a lead and/or the team manager.

 

Primary Responsibilities:

• Participate in design, develop, test, and implement activities to execute statistical modeling and machine learning methodologies. Develop demand pattern recognition, algorithm selection, outlier correction, and parameter optimization in models to deliver best in class forecast accuracy.
• Collaborate with cross-functional business partners on resolving issues throughout forecasting processes, conducting deep-dives and root-cause analyses, building and implementing solutions to enhance forecasting models & processes to improve supply chain efficiency & effectiveness.
• Provide trainings and forecast office hours to forecast users in Supply Chain planning team to enhance analytics literacy and promote forecast adoption to increase enterprise value.
• Partner with Supply Chain planning leads to align business requirements with systems and process solutions that ensure overall Nestle objectives are met.
• Create and enhance Power BI reports for forecast KPI monitoring and data validation based on needs of Supply Chain planning users.
• Present findings/recommendations via data visualization and/or PowerPoint presentations that are appropriate for audience.
• Additional responsibilities as assigned.

 

Requirements and Minimum Education Level:

• A Bachelor’s Degree is required. Graduate Degree in statistics, mathematics, economics, business, or related discipline is strongly preferred but would consider experience in lieu of a Graduate Degree.
• At least 3 years’ experience in data science/ forecasting /advanced analytics
• 3+ years’ of experience working in SQL, Python or a similar language
• Experience in extracting, transforming, aggregating and analyzing large datasets.
• Experience in application of machine learning concepts and methodologies (regression and classification, time series modeling, feature engineering and selection, regularization etc.).
• Expertise in creating data visualizations.
• Agile, Microsoft Azure, and Microsoft PowerBi experience is preferred but not required.

 

Skills:

• Expert knowledge of SQL/Python/R.
• Communicate complex data and technical concepts related to forecasting & machine learning models to non-technical audiences in a clear and concise manner.
• Ability to reframe