Data Analytics Intern

Chemelex•Redwood City, CA

1d•Onsite

About The Position

This internship focuses on data extraction, management, dashboard development, and manufacturing performance analysis within a manufacturing environment. The intern will work with various data sources, create visualizations, analyze trends, and collaborate with cross-functional teams to drive data-driven improvements and strategies. The role involves presenting findings and supporting leadership with data insights.

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 OEE, throughput, scrap, yield, 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, and 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.