Placement Student – Packaging Data Analyst
Cummins Inc.
internship
Posted on:
Location Type: Hybrid
Location: Daventry • 🇬🇧 United Kingdom
Visit company websiteJob Level
Entry Level
Tech Stack
PythonSQL
About the role
- Packaging Data Collection and Analysis from external suppliers and other Cummins sites; apply prompt engineering techniques to optimize language model performance, including crafting, testing, and refining prompts.
- Create reports and visualizations to understand supplier packaging data; design, develop and deploy AI Agents tailored to specific business cases, ensuring, accurate and user-friendly interactions.
- Data Quality Improvement: Work with the data quality team to address gaps and improve the data collection process.
- Stakeholder Collaboration: Collaborate with external stakeholders to understand their packaging data needs and provide relevant insights.
- Data Monitoring and Cleaning: Monitor, audit, and clean data to ensure accuracy and reliability.
- Performance Monitoring: Build and monitor key performance indicators (KPIs) and reports related to packaging performance; work with global supply chain partners on environmental packaging improvement projects.
Requirements
- Working towards a degree in Business/Data Science/Supply Chain/Statistics/Business Analytics or related area.
- Excellent IT skills, particularly in Excel, Excel Macros, PowerPoint, Power Bi - Publishing, Monitoring, DAX, SQL and Python.
- Previous experience as a data analyst.
- Positive attitude, strong personal motivation; being proactive in a dynamic working environment.
Benefits
- Global opportunities to develop your career
- Inclusive workforce
- Flexible working hours
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisprompt engineeringdata quality improvementdata monitoringdata cleaningkey performance indicatorsExcelSQLPythonPower BI
Soft skills
collaborationproactivestrong personal motivationpositive attitude