Manager Advanced Analytics

Position Summary 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. Duties and Responsibilities 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 Required Qualifications 7 years of applicable experience with emphasis on supply chain analytics, agile software development, optimization or predictive modelling 5 years of advanced statistical analysis with emphasis on machine learning 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 Significant experience in algorithm development, focus on supply chain related topics preferred Experience with Microsoft Azure stack, Hadoop, Hive clusters, Apache Spark, Databricks Demonstrated skills in selecting the right Architecture given a data analysis problem Simulation development experience, focus on supply chain areas Front‑end software development skills a plus Bachelor's Degree in engineering, computer science, mathematics, supply chain management or related fields required Master's Degree or PhD in Industrial Engineering, Operations Research, Computer Science, Data Science or related fields preferred Preferred Qualifications 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 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 Compensation ME/NC/PA/SC Salary Range: $108,880 - $163,320 IL/MA/MD/NY Salary Range: $125,200 - $187,800 Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions Final compensation decisions will be made in accordance with company policies and applicable laws #J-18808-Ljbffr Ahold Delhaize USA