About the Role
This role provides an opportunity to work with real-world manufacturing data to identify trends, generate insights, and support process improvements across production operations.
Responsibilities
- Collect and organize data from manufacturing systems
- Perform basic data cleaning and validation tasks
- Assist in creating visualizations to communicate findings
- Support the development of dashboards for operational metrics
- Collaborate with engineers to understand data requirements
- Conduct exploratory data analysis under supervision
- Document analytical methods and results
- Identify patterns in production performance data
- Help assess data quality across reporting systems
- Participate in team meetings and project reviews
- Contribute to root cause analysis efforts
- Use statistical tools to evaluate process variation
- Prepare summaries of data-driven observations
- Follow data governance and security protocols
- Support continuous improvement initiatives
- Work with cross-functional teams on data needs
- Apply analytical techniques to solve operational problems
- Maintain organized records of data workflows
- Present findings to team members and stakeholders
- Leverage software tools for data manipulation
- Assist in validating new data sources
- Track key performance indicators over time
- Contribute to process documentation updates
- Engage in training on internal systems and tools
- Meet project deadlines with guidance from mentors
Compensation
Competitive hourly rate
Work Arrangement
Hybrid work model
Team
Collaborative environment within the manufacturing analytics team
What You’ll Gain
- Hands-on experience with real manufacturing data
- Mentorship from analytics and engineering professionals
- Exposure to cross-functional project workflows
- Opportunities to present findings to teams
- Insight into industrial data systems and infrastructure
Education Requirements
- Pursuing a bachelor’s degree in a technical field
- Minimum GPA of 3.0 preferred
Not available
