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Data Analytics & AI Co-op

Job in Coppell, Dallas County, Texas, 75019, USA
Listing for: Nokia
Full Time position
Listed on 2026-08-30
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 28000 - 41000 USD Yearly USD 28000.00 41000.00 YEAR
Job Description & How to Apply Below

Job Description

Position Title:

Data Analytics & AI Co-op

Job Description

Position Title:

Data Analytics & AI Co-op

Number of Positions: 1

Duration: 4 months

Date:
August-December 2026

Location:

Onsite, Hybrid - Dallas, TX

Educational Recommendations:

Currently enrolled in a Bachelor’s or Master’s degree program in a quantitative field such as Data Science, Statistics, Finance, Economics, Computer Science, or a related field at an accredited university in the US.

How You Will Contribute And What You Will Learn
  • Build, maintain, and improve analytical solutions, including preparing datasets for analysis, exploration, and visualization
  • Develop dashboards and reports that translate complex data into clear, actionable insights
  • Apply appropriate analytical techniques and tools based on the structure and quality of available data
  • Document and present analysis workflows, findings, and recommendations to both technical and non-technical stakeholders
  • Support continuous improvement initiatives aimed at forecasting accuracy, automation, and data reliability
Key Skills And Experience
  • Strong analytical foundation (statistics, time-series analysis, or basic machine learning concepts)
  • Able to work with complex, multi-dimensional datasets
  • Familiar with Power BI or similar data visualization tools
  • Curious, proactive, and able to translate business needs into technical solutions in a collaborative environment
  • It would be nice if you had:
  • Cost forecasting or financial planning (e.g., variance analysis, scenario modeling, driver-based planning)
  • AI-enabled productivity tools, including model documentation, validation, or monitoring concepts
  • Data processing or modeling using SQL, Python, or R
  • Process automation or workflow optimization tools
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