Data Analytics Co-op: AI-Driven Insights & Growth

City of Shakopee, MN; Marshalltown (IA); Hybrid; USD 25,000 - 30,000; Full time

Benefits offered by this job

Flexible time off

On-site cafeterias

Fitness facilities

Mentorship program

Job summary

Emerson is seeking a student for a hands-on data analytics co-op role. You will assist in designing test systems, data architecture, and analytics from control processes, and you will develop automated data collection routines for analysis.

Collaboration with research and data science teams is essential to identify trends and features. You will contribute to planning new features, support agile teams in improving AI models, and create reports to drive efficiency.

Qualifications

• Enrollment in a Bachelor's degree program in Computer Engineering, Computer Science, Mathematics, Statistics, or related field.
• SQL and Python skills and experience.

Responsibilities

• Assist in designing test systems, data architecture, and data analytics from control processes.
• Develop and implement automated routines for data collection, pre-processing, and integrity checks in preparation for analysis
• Collaborate with research and data science teams to perform exploratory data analytics, identifying trends and data features
• Contribute to planning & road mapping new features and functionality
• Support multi-disciplinary agile teams in developing and improving AI models
• Create reports and metrics to drive more efficient initiatives
• Document and present progress/results to stakeholders and other teams
• Assist with other project activities as assigned

Skills

SQL

Python

Team collaboration

Problem solving

Communication

Education

Bachelor's degree program enrollment in Computer Engineering/CS/Math/Stats

Tools

C#

C++

Java

Relational databases

Job description

Emerson is seeking a student for a hands-on data analytics co-op role. You will assist in designing test systems, data architecture, and analytics from control processes, and you will develop automated data collection routines for analysis.

Collaboration with research and data science teams is essential to identify trends and features. You will contribute to planning new features, support agile teams in improving AI models, and create reports to drive efficiency.