Quality Co-Op 12 Months

We are looking for a talented Quality School-to-Work (Student) to join our team specializing in Quality for our Cummins Inc. facility in Troy, MI.

 

In this role, you will make an impact in the following ways: 

1. Insight Generation: Collect, process, and analyze large datasets to provide valuable insights and recommendations to the Global Quality team, driving informed decision-making.
2. Pattern Identification: Working with various data sources, you'll identify patterns, trends, and improvement opportunities, helping to optimize processes and enhance quality.
3. Data Integrity: Ensuring data accuracy and integrity will be crucial, as it forms the foundation for reliable analysis and reporting.
4. Reporting and Visualization: Creating reports and dashboards tailored to the business requirements of the Global Quality group will enable stakeholders to easily understand and act on data insights.
5. Collaboration: By working closely with peers and internal customers, you'll identify and implement improvement opportunities using a data-driven approach, fostering a culture of continuous improvement.
6. Data Consolidation: Consolidating data from multiple systems into a single organized data warehouse structure will streamline data management and accessibility.
7. Advanced Analytics: Collaborating on projects involving statistical analysis and predictive modeling will help anticipate future trends and inform strategic planning.
8. Business Intelligence: Leveraging business intelligence tools under the supervision of reporting managers will enhance the team's ability to make data-driven decisions and improve overall quality.

To be successful in this role you will need the following: 

• Flexibility and Collaboration: Be adaptable and ready to support and collaborate with different stakeholders across various engagements. This will help you build strong relationships and effectively address diverse needs.
• Machine Learning Knowledge: While not mandatory, having some understanding of machine learning concepts and algorithms will enhance your ability to analyze and report complex data, leading to more data-driven decisions.
• Data Mining Skills: Familiarity with data mining techniques and tools, including SQL, coding, and big data collection, will be beneficial. These skills will enable you to extract valuable insights from large datasets.
• Process-Oriented Approach: Develop a process-oriented mindset to evaluate interactions between different platforms for data flow. This will help ensure seamless data integration and management.
• Data Visualization Proficiency: Knowledge of data visualization tools (e.g., Tableau, Power BI, Spotfire, Qlik) and programming languages like Python or R will be advantageous. These skills will allow you to create compelling visualizations and perform advanced data analysis.
• Microsoft Office Suite: Proficiency in Microsoft Office Suite, particularly Excel and PowerPoint, is preferred. These tools will be essential for data manipulation, analysis, and presenting your findings effectively.

 

Education/Experience:

Bachelor's Degree in Data Science, Management Information Systems, or Computer Science or relevant equivalent experience required. 

Compensation:

Please note that the salary range provided is a good faith estimate on the applicable range. The final salary offer will be determined after considering relevant factors, including a candidate’s qualifications and experience, where appropriate.

Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.