Data Analytics Intern
Chemelex
Chemelex is a global leader in electric thermal and sensing solutions, protecting the world's critical processes, places and people. With over 50 years of innovation and a commitment to excellence, we develop solutions that ensure safety, reliability, and efficiency in diverse environments - from industrial plants and data centers to people's homes. We deliver future-ready technologies, advanced engineering capabilities and local expertise backed by global standards. Our offering includes a leading portfolio from our trusted brands: Raychem, Tracer, Nuheat and Pyrotenax.
KEY RESPONSIBILITIES Data Extraction & Management- Extract, consolidate, and validate data from multiple systems across the manufacturing environment (SAP, MES, manual logs, and other sources)
- Ensure data integrity, consistency, and reliability for operational decision-making
- Identify gaps in data collection and partner with teams to improve data capture processes
- Support development of standardized data structures for reporting and analytics
- Design, build, and maintain dashboards to track key performance indicators, including:
- Overall Equipment Effectiveness (OEE)
- Throughput and production output
- Scrap and yield performance
- Downtime and equipment utilization
- Create clear, actionable visualizations using Power BI, Tableau, or Excel
- Continuously improve dashboards to support real-time decision making on the production floor
- Analyze production, quality, and maintenance data to identify trends and inefficiencies
- Support root cause analysis efforts with data tied to downtime, scrap, and performance losses
- Partner with Operations and Engineering to quantify performance gaps and track improvements
- Assist in building leading indicators or basic predictive models for equipment performance
- Work directly with Operations, Manufacturing Engineering, Maintenance, and Supply Chain teams
- Translate operational challenges into data-driven insights and recommendations
- Support alignment between data, planning, and execution
- Participate in daily and weekly operational reviews to provide visibility into performance
- Support development of data-driven strategies to improve plant performance
- Assist initiatives focused on improving:
- Equipment uptime
- Labor efficiency
- Production flow
- Cost per unit (CPU)
- Identify opportunities to automate reporting and reduce manual processes
- Present findings, trends, and recommendations in a clear and concise way
- Build reports that are easy to interpret and drive action
- Support leadership with data insights for operational and strategic decisions
- Currently pursuing a Bachelor's degree in Data Analytics, Statistics, Computer Science, Industrial Engineering, or related field
- Strong analytical and problem-solving skills with ability to work through large datasets
- Experience with data visualization tools such as Power BI or Tableau
- Proficiency in Excel required; Python, R, or SQL preferred
- Understanding of data cleaning, structuring, and basic statistical analysis
- Strong communication skills and ability to explain insights clearly
- Ability to work in a fast-paced manufacturing environment
- Exposure to manufacturing or production systems is a plus
- Experts with empathy
- Explorer mindset
- Example for others
- Exceptional impact
We are committed to equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by national, federal, state or local law.
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