Manager Advanced Analytics

Peapod Digital Labs

$90K — $120K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of relevant experience in data analytics with a focus on supply chain operations
  • Strong quantitative background with expertise in statistical analysis and machine learning
  • Experience in developing predictive models and algorithms
  • Familiarity with operations research and econometrics methodologies
  • Ability to collaborate effectively with cross-functional teams, including IT and supply chain engineers

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
  • Collaborate with IT to structure supply chain data for accessibility and analysis
  • Lead discovery and analysis of large datasets to define new metrics and business cases
  • Design simulations and experiments for model evaluations and financial assessments

Benefits

  • Flexible hybrid work schedule with 3 in-person days and 2 remote days
  • Opportunity to work in modern core office locations including Salisbury, NC, Quincy, MA, and Scarborough, ME
  • Access to leading-edge technology and tools for data analysis and modeling
  • Involvement in innovation-driven projects in supply chain analytics
Full Job Description
Category/Area of Expertise: Procurement & Logistics
Job Requisition: 532599
Address: USA-ME-Scarborough-145 Pleasant Hill Rd
Store Code: Services (5120698)

Primary Purpose

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.

Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Quincy, MA & Scarborough, ME.

Applicants must be currently authorized to work in the United States on a full-time basis.

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 accessi

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