Manufacturing Data Analyst

RXinsider LTD.; Chandler, Northern (AZ, KY); Hybrid; USD 65,000 - 90,000; Full time

Job summary

RXinsider LTD. in Chandler, AZ is seeking a Manufacturing Data Analyst to transform raw production data into actionable insights. You will analyze multi-source datasets, build dashboards, and provide data-driven recommendations to improve efficiency and quality on the shop floor.

The ideal candidate has a data-related degree and strong skills in SQL, Excel, Python or R, plus experience with MES/ERP data and modern visualization tools. Collaboration with engineering and quality teams is key.

Qualifications

• Bachelor’s degree in data-related field.
• Proficiency in SQL, Excel and statistical software (R/Python).
• Experience with manufacturing data or manufacturing environment.
• Strong analytical and communication skills.

Responsibilities

• Collect, clean, and analyze manufacturing data from multiple sources.
• Develop dashboards and reports to monitor KPIs like production efficiency and downtime.
• Identify patterns and root causes with statistical analysis and data mining.
• Collaborate with cross-functional teams on experiments and process improvements.
• Present findings with clear visualizations to support decisions.

Skills

SQL

Excel

Python

Data analysis

Education

Bachelor's degree in Data Science, Statistics, Industrial Engineering, Manufacturing Engineering, or related field

Tools

Tableau

Power BI

SQL databases

Job description

About The Role

The Manufacturing Data Analyst plays a critical role in transforming raw manufacturing data into actionable insights that drive operational efficiency and product quality improvements. This position involves analyzing complex datasets from production lines, identifying trends, and providing data-driven recommendations to optimize manufacturing processes. The analyst collaborates closely with engineering, quality assurance, and production teams to support continuous improvement initiatives and reduce waste. By leveraging advanced analytical techniques and tools, the role ensures that manufacturing decisions are supported by accurate and timely data. Ultimately, the Manufacturing Data Analyst contributes to enhancing overall manufacturing performance and competitiveness in the market.

Minimum Qualifications

• Bachelor's degree in Data Science, Statistics, Industrial Engineering, Manufacturing Engineering, or a related field.
• Proficiency in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python).
• Experience working with manufacturing data or in a manufacturing environment.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills to effectively convey complex data insights to non-technical stakeholders.

Preferred Qualifications

• Master's degree in a relevant field or equivalent work experience.
• Familiarity with manufacturing execution systems (MES) and enterprise resource planning (ERP) software.
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
• Knowledge of Six Sigma, Lean Manufacturing, or other continuous improvement methodologies.
• Programming experience in Python or R for advanced data analysis and automation.

Responsibilities

• Collect, clean, and analyze manufacturing data from various sources including production equipment, sensors, and enterprise systems.
• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) related to production efficiency, quality, and downtime.
• Identify patterns, anomalies, and root causes of manufacturing issues through statistical analysis and data mining techniques.
• Collaborate with cross-functional teams to design experiments and pilot projects aimed at process optimization and defect reduction.
• Present findings and actionable insights to stakeholders through clear visualizations and detailed reports to support decision-making.

Skills

The Manufacturing Data Analyst uses required skills such as SQL and Excel daily to extract and manipulate large datasets from manufacturing systems, ensuring data accuracy and completeness. Statistical software like R or Python is employed to perform in-depth analyses, identify trends, and build predictive models that inform process improvements. Communication skills are essential for translating complex analytical results into clear, actionable insights that can be understood by production and management teams. Preferred skills like familiarity with MES and ERP systems enhance the analyst’s ability to integrate data from multiple sources, providing a comprehensive view of manufacturing operations. Additionally, expertise in data visualization tools allows the analyst to create intuitive dashboards that facilitate real-time monitoring and decision-making.