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Supply Chain Data Analytics Co-op (Fall Cohort)

Ahold Delhaize USA
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Co-op Program Overview: 

Get an insider view of the fast-changing grocery retail industry, while developing leadership skills and business knowledge to enhance your career. This paid internship experience is an opportunity to contribute to help drive business results in an environment designed to promote and reward diversity, innovation and leadership. 

  • 6-month paid program
  • Work on impactful projects collaborating with grocery brands to develop innovative solutions
  • Leadership development seminars
  • Networking and professional engagement opportunities
  • One-on-one mentoring
  • Group community service event
  • Access to online career development tools and resources
  • Final project presentation to company leaders
  • Professional experience and industry exposure in partnership with the Great Local Brands of Ahold Delhaize USA

Program Dates:  

Fall: June 24th-December 6, 2024 

Available Locations (Hybrid):  

Quincy, MA; Salisbury, NC; Carlisle, PA or Scarborough, ME 

Position Overview 

You will work with a team of experienced Supply Chain Professionals to deliver business critical solutions by deploying Analytics Solutions such as time sensitive data engineering pipelines, Business Dashboards and Predictive Analytics Models. You should be comfortable working with huge datasets, be detail oriented and be able to successfully drive Analytics Projects to completion. 

Qualifications (preferred in one or more of the following):  

  • Experience or basic understanding of predictive modelling techniques and Machine Learning Models such as k-nearest neighbors, multiple-regression, neural networks, etc.
  • Experience or basic understanding of forecasting techniques such as ARIMA, ETS, etc.
  • Visualization expertise using tools such as Tableau, PowerBI, QuickSight, etc.
  • Experience with Microsoft Azure/ AWS/ GCP or any other cloud technology
  • SQL Server Management Studio (SSMS), SQL Server Integration Services (SSIS)

Skills:  

  • Strong Knowledge of relational databases, SQL and Python
  • Comprehension of key supply chain fields: logistics, warehousing, demand management, etc.
  • Understanding agile development methodologies and concepts; experience with is a plus
  • Ability to translate business needs into operational dashboards and models through PowerBI
  • Experience or knowledge of predictive modelling techniques and Machine Learning Models such as k-nearest neighbors, multiple-regression, neural networks, etc.
  • Experience or knowledge of forecasting techniques such as ARIMA, ETS, etc.
  • Experience or knowledge using SQL, Python, Scala is a plus
  • Passion for using analytics to drive operational change in supply chain
  • Passion for solving complex business problems
  • Relational Database Management Systems (RDBMS)
  • Must be able to adapt quickly to change without being afraid to take on new responsibilities in a fast-paced team environment while being proactive and action-oriented
  • Strong verbal, written and listening skills

Education: 

Must be enrolled in a BS/BA, MS, or PhD program or a recent graduate in related field