Manufacturing Data Analyst

Tailstorm Health; Chandler (AZ); On-site; USD 75,000 - 115,000; Full time

Job summary

Tailstorm Health is seeking a Manufacturing Data Analyst to turn raw manufacturing data into actionable insights that drive efficiency and product quality. You will analyze production data, build dashboards, and collaborate with engineering and production teams on continuous improvement initiatives.

The role emphasizes turning complex data into clear recommendations, with a focus on reducing waste and optimizing processes across the plant floor.

Qualifications

• Bachelor's degree in data-related field or engineering.
• Familiarity with data analysis tools (SQL, Excel, R/Python).
• Experience in manufacturing data or manufacturing environment.
• Strong analytical and communication skills.

Responsibilities

• Collect, clean, and analyze manufacturing data from multiple sources.
• Develop and maintain dashboards and reports to monitor KPIs (production efficiency, quality, downtime).
• Identify patterns and root causes via statistical analysis and data mining.
• Collaborate with cross-functional teams to design experiments and pilot projects.
• Present findings with clear visuals to support decision-making.

Skills

SQL

Excel

Python

R

Statistical analysis

Data visualization

Communication

Manufacturing data

Education

Bachelor's degree in Data Science/Statistics/Engineering

Master's degree preferred

Tools

Tableau

Power BI

MES

ERP

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.