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Quality Co-Op 12 Months

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Part-time Hybrid 25d ago

Location:

Troy, MI, US

Company:

Cummins Inc. is a global power leader in the design, manufacture, and distribution of engines and power generation products.

Summary:

The Quality Co-Op role involves analyzing datasets, driving decision-making, and collaborating across the Global Quality team. A Bachelor's Degree in a relevant field is required for applicants.

Requirements:

Technology: SQL, Python, R, Tableau, Power BI

Hard Skills: Data mining, Data visualization, Statistical analysis, Predictive modeling, Business intelligence tools

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

Job Description:

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.
  • Process-Oriented Approach: Develop a process-oriented mindset to evaluate interactions between different platforms for data flow.
  • Data Visualization Proficiency: Knowledge of data visualization tools (e.g., Tableau, Power BI) and programming languages like Python or R will be advantageous.
  • Microsoft Office Suite: Proficiency in Microsoft Office Suite, particularly Excel and PowerPoint, is preferred.

Education/Experience:

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