DESCRIPTION

We are looking for a talented (Student) Business Analytics - School to Work - Hybrid to join our team specializing in Systems/Information Technology for our Cummins Inc. facility in Florence, KY.

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

• Data Management : Utilizing your basic understanding of SQL, you'll effectively query and manage data, ensuring accurate and accessible information for analysis.
• Data Wrangling : Your experience in cleaning and organizing datasets will help maintain high-quality data, which is crucial for reliable analysis and decision-making.
• Statistical Analysis : Applying your foundational skills in statistical analysis, you'll identify trends and patterns in data, providing valuable insights to inform business strategies.
• Problem-Solving : Tackling smaller data issues with guidance will demonstrate your developing problem-solving abilities and potential for growth, contributing to continuous improvement.
• Supporting Data-Driven Decisions : By managing and analyzing data, you'll support data-driven decision-making processes, enhancing the overall effectiveness of the team.
• Learning and Development : Continuously developing more advanced data wrangling techniques will improve your efficiency and accuracy in handling complex datasets.
• Collaboration : Working with team members to address data-related challenges will foster a collaborative environment and improve overall project outcomes.
• Innovation : Bringing fresh perspectives and innovative ideas to data management and analysis will help drive improvements and optimize processes.

• Proficiency in Python or R : Develop your skills in Python or R for basic data analysis tasks and statistical modeling. These programming languages are essential for handling and analyzing data efficiently.
• Experience with Data Visualization Tools : Gain hands-on practice with data visualization tools like Tableau or Power BI. Creating basic dashboards and reports will help you present data insights clearly and effectively.
• Strong Communication Skills : Improve your ability to present findings, especially in explaining technical concepts to non-technical audiences. Clear communication is key to ensuring your insights are understood and actionable.
• Data Storytelling : Cultivate your interest in data visualization and storytelling. Being able to tell a compelling story through data will make your analyses more impactful and engaging.
• Attention to Detail : Pay close attention to detail when analyzing data and creating visualizations. Accuracy is crucial for reliable insights and decision-making.
• Problem-Solving Abilities : Enhance your problem-solving skills to tackle data-related challenges. Being able to identify and resolve issues will improve the quality of your analyses.
• Continuous Learning : Stay curious and continuously seek opportunities to learn and grow. Keeping up with the latest tools and techniques in data analysis and visualization will keep you ahead of the curve.
• Collaboration Skills : Work effectively with team members and stakeholders. Collaboration will help you gather diverse perspectives and improve the overall quality of your work.