Intern Supply Chain Engineering: Advanced Analytics jobs in United States
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ChatGPT Jobs ยท 5 days ago

Intern Supply Chain Engineering: Advanced Analytics

ARMADA is a company seeking an Advanced Analytics Intern to support their Supply Chain Engineering team. The role involves assisting with data exploration, model development, and analytics to enable data-driven decisions across various supply chain operations.

Computer Software

Responsibilities

Assist in structuring, validating, and analyzing large datasets from transportation, warehousing, freight, inventory, and supplier networks
Support data cleaning, feature engineering, and exploratory analysis using SQL and Python
Participate in the development and testing of statistical, geospatial, and machine learning models supporting operational decision-making
Support creation of metrics, KPIs, and dashboards in Power BI or Python-based visualization libraries
Apply supply chain knowledge to identify opportunities for cost improvement, service improvement, and process optimization
Assist in automating data pipelines, report generation processes, or analytics workflows
Contribute to development of templates, utilities, or documentation for repeatable analytics
Work with internal stakeholders and data teams to align project priorities and deliverables
Present findings to stakeholders in clear, concise formats suitable for business users

Qualification

SQLPythonData analysisPower BIStatistical modelingCuriosityDetail-orientedCommunication skillsOrganizational skillsTeamwork

Required

Current coursework in Data Science, Analytics, Engineering, Computer Science, Supply Chain, Statistics, or a related bachelor's program
SQL experience
Python (pandas, numpy; exposure to scikit-learn or geopandas a plus)
Experience working with large datasets in analytics projects
Basic statistics, probability, and data validation practices
Strong Excel skills
Detail-oriented, data-driven approach to problem-solving
Curiosity, initiative, and willingness to explore new tools and methods
Ability to communicate technical insights in a clear business-friendly way
Strong organizational and project management skills
Ability to work independently and within a team environment

Preferred

Experience using analytics or modeling tools for logistics, transportation, or supply chain datasets
Exposure to statistical modeling, forecasting, or machine learning concepts
Experience with visualization tools (Power BI, Tableau, or similar)
Exposure to geospatial tools or concepts (ArcGIS, shapefiles, GIS libraries)
Familiarity with version control (GitHub, Azure DevOps)
Basic understanding of supply chain flows or logistics concepts

Company

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Funding

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