Data Analytics Intern

ChemelexRedwood City, CA
Onsite

About The Position

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.

Requirements

  • 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
  • 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

Nice To Haves

  • Python, R, or SQL preferred
  • Exposure to manufacturing or production systems is a plus

Responsibilities

  • 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
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