Intern Supply Chain Engineering: Advanced Analytics

Job Description
Intern Supply Chain Engineering: Advanced Analytics
Company: ARMADA
Location: Pittsburgh, PA (On-site, Remote)
Salary: $17.50 - $23.50/hr (Estimated pay)
Type: Full-time
Posted: 20 hours ago
Summary
Job description
The Advanced Analytics Intern will support Armada’s Supply Chain Engineering team by assisting with data exploration, model development, and analytics enabling data-driven decisions across transportation, warehousing, procurement, and inventory operations.
This role will work closely with engineers and analysts to build datasets, automate workflows, and generate insights using data science and machine learning techniques.
Interns will gain hands-on experience with Snowflake, Python, SQL, Power BI, geospatial libraries, analytics workflows, and modern supply chain datasets used across Armada’s network.
LOCATION:
This role is eligible for remote or hybrid remote.
Our office is located at 645 Alpha Drive, Pittsburgh PA 15238 if candidates are interested in hybrid remote.
Responsibilities
Analytics & Data Engineering

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.
Model Development & Insights

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.
Automation & Tooling

Assist in automating data pipelines, report generation processes, or analytics workflows.
Contribute to development of templates, utilities, or documentation for repeatable analytics.
Cross-Functional Collaboration

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.
Qualifications
Education & Experience
Minimum

Current coursework in Data Science, Analytics, Engineering, Computer Science, Supply Chain, Statistics, or a related bachelor’s program.
Preferred

Experience using analytics or modeling tools for logistics, transportation, or supply chain datasets.
Exposure to statistical modeling, forecasting, or machine learning concepts.
Technical Skills
Required or Strongly Preferred:

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.
Nice To Have

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.
Soft 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.
Physical Demands and Work Environment
Work will be performed in both an office and warehouse environment. These environments can involve prolonged sitting, computer usage, prolonged standing, elevated noise levels and extreme temperature fluctuations.
Work will likely involve travel (>10%)