Analytics Intern

MSX InternationalSouthfield, MI
6dHybrid

About The Position

SUMMARY We're looking for a technically minded Data Analyst Intern to help us modernize our analytics infrastructure. You'll have a hands-on role in transitioning our analytics assets from a drag-and-drop environment into a scalable, code-first framework.

Requirements

  • Enrolled in an accredited university/college studying computer science, statistics, mathematics or relevant discipline
  • Experience with data visualization tools (Tableau, PowerBI, Qlik Sense, etc.)
  • Proficiency in Python and familiarity with REST APIs
  • SQL skills for querying relational databases
  • Experience with complex data analysis
  • Performing data manipulation and statistical analysis
  • Strong analytical skills with ability to understand and communicate the meaning of the data being presented
  • Excellent Mathematical/Statistical and Logic skills
  • Full Professional Proficiency in English is required
  • Able to complete advanced statistical analysis is required
  • Job requires analyzing information and using logic to address work-related issues and problems

Nice To Haves

  • 1-3 years automotive operations experience, or similar business (quick-paced environment)
  • Multi-dimensional reporting, data correlation, data analytics and data mining
  • Experience with ETL tools (SSIS, Alteryx, KNIME, etc.)
  • Proficiency in Visual Studio Code, YAML/JSON
  • Experience with dbt and data modeling experience
  • Experience with REST API development, YAML/JSON

Responsibilities

  • Leverage APIs and SDKs to define metrics, data models, and dashboards programmatically
  • Create Python scripts to automate data workflows, handle complex transformations, and interact with headless BI engines
  • Implement Git-based workflows to version-control our analytics layer, enabling peer reviews and automated dashboard deployments
  • Work closely with visualization analysts to translate business logic into clean, scalable, and reusable code blocks
  • Assist in developing sound data ETL practices and processes
  • Conduct research and analyze special studies when needed
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