Analyst SC Advanced Analytics

ADUSA Procurement is a partner company to Ahold Delhaize USA, providing supply chain services that support the delivery of products from a supplier to the warehouse. ADUSA Procurement is part of the Ahold Delhaize USA family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop.

Responsible for utilizing advanced statistical tools and leading-edge technology for working with large datasets related to supply chain of Ahold Delhaize brands, facilities, and assets. Develop predictive models and algorithms for the creation of new insights which lead to scalable and efficient supply chain operations. Lead discovery and analyses of large amounts of business data, defining new metrics and business cases, designing simulations and experiments, and creating models and financial evaluations. Apply advanced analytics to measure the effectiveness of operational changes. The successful candidate will have a strong quantitative background and can thrive in an environment that leverages statistics, machine learning, operations research, econometrics, and business analysis. Work closely with supply chain engineers and product managers to evolve descriptive insights into predictive and prescriptive supply chain products. 

Essential job functions:

• Develop statistical models to predict supply chain operational needs and automate decision making processes. 
• Use advanced analytics to highlight operational trends and external variables that impact supply chain performance to offer proactive recommendations in support of operational goals. 
• Collaborate with IT to structure supply chain data in a way that will make it accessible for creating a 360 view of our supply chain. This will include working with IT to identify and leverage new technology to access data in such a way to facilitate analysis and insight development. This will require expertise in advanced statistical technologies necessary for synthesizing data into actionable business opportunities. 
• Work closely with product managers and supply chain engineers to sustainably scale and deploy supply chain products such as control tower, vendor profitability models, and out of stock detection among others. 
• Serve as the expert on advanced analytics tools and technologies.  
• Design tests for quantifying supply chain pilot results using A/B testing and statistical methods.  
• Collaborate with and mentor Supply Chain Data Science COOPs by providing project oversight, guidance, and mentorship. 
• Train other user groups and analysts to utilize best-in class tools and models.  
• Additional job duties may be assigned as needed to meet the needs of the business and support our Values.

Knowledge:

• Extensive hands-on experience using statistical programming software and languages such as SAS, SQL, R, Scala, and Python  
• Extensive hands-on experience with predictive modelling, clustering, and optimization 
• Experience with Microsoft Azure stack, Hadoop, Hive clusters, Apache Spark, Databricks 
• Demonstrated skills in selecting the right Architecture given a data analysis problem. 
• Demonstrated leadership and self-direction. 

• Skills:

• Strategic thinking to provide optimal solutions to complex supply chain problems. 
• Proven analytical proficiency and ability to leverage data to positively impact the business and solve complex business problems. 
• Agile development  
• Innovative problem-solver with ability to triangulate answers by adopting different problem-solving approaches. Demonstrated success executing complex strategic projects. 
• Flexibility to adapt to rapidly evolving priorities and needs, while maintaining commitment to excellence 
• Strong and collaborative team contributor 
• Superior organizational and analytical skills with hypothesis- driven problem solving and turning data into actionable insights. 

Abilities:

• Ability to define organizational needs in data science and proactively develop the internal capabilities needed to succeed. 
• Ability to develop a structured approach to complex questions and quickly form a hypothesis against which to run test analyses. 
• Ability to challenge conventional thinking to deliver innovative recommendations. 
• Ability to lead multiple projects and tasks simultaneously. 
• Ability to influence without authority. 
• Ability to navigate situations with high degrees of uncertainty or ambiguity. 

Education:

• Bachelor’s Degree in engineering, computer science, mathematics, supply chain management or related fields required. 

Experience:

• 7+ years of applicable experience with emphasis on supply chain analytics, agile software development, optimization, or predictive modelling  
• 5+ advanced statistical analysis with emphasis on machine learning

Preferred Qualifications:

• Front end software development skills a plus 
• Significant experience in algorithm developments, focus on supply chain related topics preferred. 
• Simulation development experience, focus on supply chain areas – digital twin development experience preferred.

Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days.

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At Ahold Delhaize USA, we value Diversity, Equity, Inclusion and Belonging (DEI&B). Our employees and prospective employees are treated with respect and dignity. As an equal opportunity employer, we comply with all applicable federal, state and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status or any other characteristic protected by law.

We provide reasonable accommodations to applicants and employees with disabilities. If you have a disability and require assistance in the application process, please contact our Talent Acquisition Department at [email protected].

For more information, visit www.adusa.com.