Sr. Analyst, E-Commerce Insights and Business Planning

Introduction

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

As the Senior Analyst, E-Commerce Insights and Business Planning
, you will help drive e-commerce performance and enable our grocery brands to predict and respond to our customers' evolving e-commerce needs across 19 states, 2000+ stores, and 20+ e-commerce fulfillment facilities. You'll be part of the department that partners with our brands to set the strategy for e-commerce fulfillment, and a major player on the team that establishes the e-commerce network design, supports tactical and strategic planning, drives the three-year e-commerce market outlook, and delivers actionable insights to support significant business decisions for our five multi-billion-dollar grocery brands.

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 Chicago, IL.

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

You’ll use your data acumen, technological expertise, and passion for problem-solving to build, maintain, and evolve our multiple in-house analytical capabilities. You’ll partner across teams and functions to develop recommendations to optimize capacity, calibrate the fulfillment network, maximize sales capture, and manage costs. Your day-to-day responsibilities will vary based on our projects and business needs, but will include the following:

• Enabling the e-commerce network strategy team to answer juicy and ambiguous business questions such as, "What does the e-commerce market look like in 2030?" and "What's the capital investment needed to expand our e-commerce reach to rural customers?" and "How do we best position and calibrate hourly capacity?"
• Owning at least one proprietary capability (solution) end-to-end, designing, coding, and deploying new features, documenting and training on the solution, developing the product roadmap, troubleshooting bugs, managing third-party vendors, collaborating on end user analysis, and supporting other solutions as needed.
• Evolving our solution ecosystem by keeping up with company-wide performance ambitions and industry trends, learning and implementing leading practices, engaging with external tool communities, and developing new models and solutions to stay ahead of changing business needs.
• Governing all data inputs and outputs by driving the collection, cleansing, and validation of solution inputs, developing and maintaining data pipelines, ensuring integrity and accuracy of outputs, and facilitating end-user testing.
• Analyzing company data, external data, and solution data outputs with team members and cross-functional partners to produce data-driven insights and visualizations to address brand questions, business challenges, and key strategic decisions.
• Partnering with our data teams and cross-functional teams to enable our fulfillment teams, executive leadership, and brand partners to get the data, insights and reporting they need.
• Driving continuous improvement and supporting the future of our team via retrospectives, effort estimation and budgeting, process definition and enhancements, initiative prioritization, and artifact and template development.

• Work Experience (5+ years) in data analysis, data science, network optimization, mathematical modeling, analytics, and/or supply chain optimization.
• Degree or Equivalent Experience in Statistics, Data Science/Analytics, Industrial Engineering, Operations Research, Supply Chain Management, or similar field.
• Core Competencies in analyzing data, managing end-to-end data integration and transformation, building models across multiple programming languages, developing reporting and analytics solutions, designing and maintaining databases,…