Job Description

We’re seeking a curious, detail-oriented, and passionate data enthusiast to join our team as a Data Analysis Engineer I .

The ideal candidate has a strong foundation in statistical analysis, data science, or a related discipline, and is comfortable using tools such as SQL and data visualization software.

Experience in manufacturing or quality control environments is a major plus. This role requires a problem-solver who thrives in a collaborative environment, with a knack for turning raw data into actionable insights. If you're someone who loves exploring processes, uncovering trends, and driving improvement through data—this could be the perfect fit.

Position Overview:

As a Data Analysis Engineer I , you’ll play a foundational role in our data-driven quality and process improvement efforts. You’ll be responsible for collecting, cleaning, and managing data, performing basic statistical analyses, and helping to visualize insights that influence operational decisions.

This role is ideal for someone early in their career looking to build hands-on experience in data analysis within a manufacturing setting, with the opportunity to grow into more advanced analytics, including machine learning, over time.

Key Responsibilities:

Data Collection & Management

• Gather data from production systems, sensors, and other sources

• Clean and validate data to ensure accuracy and integrity

• Maintain and update databases regularly

Data Analysis

• Perform trend and pattern analysis on production data

• Apply basic statistical techniques to extract insights

• Assist in root cause investigations for process deviations or failures

Reporting & Visualization

• Create clear, concise reports to share findings with stakeholders

• Develop and maintain dashboards to monitor key metrics

• Present data and insights to cross-functional teams

Quality Control Support

• Monitor product and process quality indicators

• Help analyze defect trends and quality issues

• Contribute to ongoing quality improvement initiatives

Process Optimization

• Assist in mapping out existing workflows

• Support benchmarking studies

• Offer preliminary recommendations for performance enhancement

Data Automation

• Help implement tools for automated data collection and reporting

• Build basic workflows to streamline repetitive tasks

• Set up systems for real-time data monitoring and alerts

Learning & Development

• Engage with senior engineers to build technical expertise

• Participate in training programs and workshops

• Share knowledge and best practices with peers

What You Bring:

• Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Computer Science, or related field

• 1–3 years of relevant experience (preferred, but not required)

• Proficiency in SQL, Excel, and data visualization tools

• Familiarity with manufacturing environments and quality standards

• Strong problem-solving, analytical, and communication skills

• Enthusiasm for learning and applying data to real-world challenges

Career Progression:

This position is part of a tiered engineering structure (Engineer I, II, III). Advancement is considered during semi-annual and annual reviews, based on performance, skill development, and business needs.

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