Engineering Data Analyst

Description

**Please Note: Applicants must be currently authorized to work in the United States on a full-time basis. This employer does not offer sponsorship now or in the future for this position.

About the Role:

Are you passionate about data and curious about how it can drive smarter decisions in a manufacturing environment? We’re seeking an Engineering Data Analyst with a strong foundation in analytics and a practical understanding of engineering or manufacturing workflows. This is a great opportunity for early-career professionals who want to work in a high-impact role and collaborate cross-functionally with engineering, operations, and IT teams.  

Key Responsibilities:

Data Preparation & Integration

• Gather and consolidate data from multiple sources (e.g., ERP systems, SQL databases, Excel)  
• Clean, validate, and standardize data for accuracy and consistency  
• Automate data extraction and transformation using scripting languages  

Analysis & Modeling

• Perform exploratory and statistical data analysis to identify trends and support decision-making  
• Develop and refine data models and KPIs for process improvement  
• Support continuous improvement initiatives through data-driven insights  

Visualization & Reporting

• Build and maintain dashboards using tools like Tableau or Power BI  
• Translate complex data sets into clear, actionable insights for technical and non-technical stakeholders  
• Develop custom reports based on stakeholder requests  

Collaboration & BI Support

• Partner with engineering, production, and quality teams to align reporting with business goals  
• Assist IT and business units in deploying and integrating BI tools  
• Provide user support and training for self-service analytics platforms  

Requirements

What We’re Looking For:

• Bachelor’s degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, Data Science, Industrial or Manufacturing Engineering)  
• 1–3 years of experience in data analysis or a similar role  
• Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL)  
• Experience using data visualization tools (e.g., Tableau, Power BI)  
• Solid understanding of statistical methods and best practices in analytics  
• Excellent analytical and problem-solving skills  
• Strong attention to detail and commitment to data quality  
• Excellent communication skills, with the ability to translate technical findings to non-technical audiences  
• Knowledge of data modeling and database design principles  
• Familiarity with ETL processes and data warehousing concepts is a plus  

Why Work With Us?

We offer a collaborative work environment where your ideas will help shape decisions and innovations across our engineering and manufacturing teams. If you're looking for a role that blends technical analytics with real-world impact, this is your opportunity to grow and contribute.