Data Analytics Co-Op: AI & SQL for Impact

Emerson; Marshalltown (IA); On-site; USD 25,000 - 32,000; Part time

Benefits offered by this job

Medical insurance

Flexible time off

Co-op program

On-site cafeteria

Wellbeing facilities

Employee resource groups

Job summary

Emerson in Marshalltown, IA offers a data analytics co‑op where you assist in designing data architecture and organizing data from manufacturing and global service partners, as well as front end ordering systems. You will develop automated routines for data collection, pre-processing, and integrity checks to prepare for analysis.

You will collaborate with research and data science teams to perform exploratory analytics, identify trends, and contribute to planning and roadmapping new features.

Qualifications

• Enrollment in a Bachelor’s degree program in a STEM field.
• Experience with SQL and Python.
• Strong analytical and communication skills.

Responsibilities

• Assist in designing data architecture and organizing data from manufacturing and global service partners, as well as front end ordering systems.
• Develop 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 and roadmapping 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

Education

Bachelor's degree in Computer Engineering, Computer Science, Mathematics, Statistics or related field

Job description

Emerson in Marshalltown, IA offers a data analytics co‑op where you assist in designing data architecture and organizing data from manufacturing and global service partners, as well as front end ordering systems. You will develop automated routines for data collection, pre-processing, and integrity checks to prepare for analysis.

You will collaborate with research and data science teams to perform exploratory analytics, identify trends, and contribute to planning and roadmapping new features.