Overview
Are you a self-described "data nerd" who genuinely enjoys digging into raw data, finding patterns, and making processes cleaner and more consistent? Our Digital Manufacturing Intelligence team is seeking a Junior Digital Manufacturing Analyst to support ongoing enterprise data analytics, dashboard scaling, and process monitoring across multiple continuous manufacturing facilities. This is a 100% remote, long-term contract role (20-30 hours per week) designed for an entry-level or early-career technical professional (0-2 years of experience) who thrives on solving real-world operational problems through data. Key Highlights of the Role:
- Role Type: Ongoing Temporary / Contract Staff Augmentation (20-30 hours/week)
- Location: 100% Remote (Primary facilities located across the US)
- Work Authorization: Must be a US Citizen or Green Card Holder; No C2C
- Core Focus: Building and standardizing enterprise dashboards (Power BI, Python), auditing plant data signals, and supporting Statistical Process Control (SPC) charting.
- Professional Growth: Hands-on experience working directly with plant engineers and digital transformation leaders, plus full company-sponsored training on Seeq (industrial analytics platform).
Key Responsibilities:
- Dashboard Development & Standardization: Update, enhance, and standardize manufacturing dashboards across multiple plant locations to ensure consistent visual layouts, units, and metrics.
- Manufacturing Data Auditing & Analysis: Gather, clean, and audit plant production and equipment signal data across databases to identify gaps, trends, and anomalies.
- Process Performance Monitoring: Build and maintain Statistical Process Control (SPC) charts and monitoring visualizations to support process control and root cause investigations.
- Cross-Functional Collaboration: Partner with plant engineers, reliability specialists, and remote data teams to refine metrics, present findings, and continuously improve tools.
What We're Looking For:
- Education: Recent graduate or currently pursuing a degree in Engineering (Chemical, Mechanical, Electrical, Mechatronics, Reliability), Computer Science, Engineering Technology, or a related technical discipline.
- Technical Skills: Familiarity or experience with data analysis and BI tools (Python, Power BI, SQL, or similar platforms). Full training provided on Seeq.
- Process Understanding: Foundational awareness of manufacturing process data, signals (pressure, temperature, current), and basic statistical process control concepts.
- Mindset: Highly detail-oriented (focus on consistency, formatting, and accuracy), self-motivated for remote work, and naturally curious about how manufacturing systems work.
Preferred Qualifications
- Exposure to industrial environments, SCADA, MES systems, or process control systems.
- Experience in glass, building products, or continuous process manufacturing.
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