Data Analyst Co-Op
Technology, Data & Digital · Data, AI & Analytics · Data Analysis
In short
Emerson is looking for a Data Analyst Co-Op in Marshalltown, IA to assist with data architecture, automated data collection, and exploratory data analytics. The role involves collaborating with data science teams, supporting AI models, and creating reports to drive efficiency. This is a full-time, on-site position for students enrolled in a Bachelor's degree program.
Responsibilities
- Assist in designing data architecture and organizing data from manufacturing, global service partners, and ordering systems.
- Develop and implement automated routines for data collection, pre-processing, and integrity checks.
- Collaborate with research and data science teams for exploratory data analytics, identifying trends.
- Contribute to planning and 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.
Requirements
- Enrollment in a Bachelor's degree program in Computer Engineering, Computer Science, Mathematics, Statistics, or a closely related engineering or science field.
- Experience with SQL and Python.
Desired Qualifications
- Junior or Senior class standing.
- Cumulative GPA of 2.5 or higher.
- C#, C++, Java or other object-oriented programming skills desired.
- Experience in data collection, pre-processing, and relational database models.
- Strong analytical, problem solving, and decision-making skills.
- Excellent oral and written communication skills.
- Ability to work effectively in a team environment.
- Familiarity with data visualization, management, and storage tools are a plus.
Benefits
- Hands-on experience.
- Professional development opportunities.
- Networking opportunities.
- Established and structured co-op program.
- Variety of medical insurance plans.
- Dental and vision coverage.
- Flexible time off plans.
- Paid holidays.
- Volunteer time off.
- On-site cafeterias.
- Fitness facilities.
- Employee resource groups.
- Recognition programs.
- Mentorship.
- Training.
- Leadership opportunities.
#data architecture#data collection#data integrity#exploratory data analytics#AI models#agile#reporting#metrics