Data Analyst

Ellaway Blues Consulting; United States; On-site; USD 80,000 - 110,000; Full time

Job summary

Ellaway Blues Consulting seeks a Data Analyst to join a growing manufacturing client, working with engineering and operations to turn data into actionable insights and measurable plant-floor improvements.

You will analyze production data, develop dashboards, track KPIs such as yield, downtime, throughput, and scrap, and collaborate with cross-functional teams to drive data-driven decisions. A bachelor's degree and 5+ years in manufacturing analytics are expected.

Qualifications

• Bachelor's degree required; 5+ years of data analysis in manufacturing
• Proficiency with Excel, SQL, Python or R, and dashboard tools such as Power BI or Tableau
• Strong communication skills and ability to translate data into actionable recommendations

Responsibilities

• Analyze manufacturing and production data to identify trends and opportunities for process improvement
• Develop and maintain dashboards, reports, and performance metrics
• Monitor KPIs including production yield, downtime, throughput, scrap, and overall efficiency
• Collaborate with engineering, operations, and quality teams to implement data-driven solutions
• Automate reporting and improve data collection accuracy
• Apply statistical analysis and data visualization to evaluate process performance and support continuous improvement
• Translate complex data into clear recommendations for technical teams and leadership

Skills

Data analysis

Dashboards

Statistical analysis

Excel

SQL

Python

R

Power BI

Tableau

Education

Bachelor's degree

Tools

Excel

SQL

Python

R

Power BI

Tableau

Job description

We are seeking a Data Analyst for our client, a growing manufacturing organization investing in new technologies, operational capabilities, and continuous improvement. This is an exciting opportunity for an experienced analyst to work directly with engineering and operations teams, using data to solve real-world production challenges and improve manufacturing performance.

As Data Analyst, you will play a key role in turning complex manufacturing data into actionable insights that drive operational efficiency, process optimization, and better business decisions. This position is ideal for someone who enjoys working closely with technical teams, understands how manufacturing operations function, and wants to see their analysis translate into measurable improvements on the plant floor.

Key Responsibilities:

• Analyze manufacturing and production data to identify trends, inefficiencies, and opportunities for process improvement
• Develop and maintain dashboards, reports, and performance metrics to support operational decision-making
• Monitor key manufacturing KPIs including production yield, equipment downtime, throughput, scrap rates, and overall efficiency
• Collect, organize, and interpret data from production systems, equipment, and quality processes
• Partner with engineering, operations, and quality teams to investigate performance issues and implement data-driven solutions
• Identify opportunities to automate reporting, streamline data collection, and improve data accuracy
• Apply statistical analysis and data visualization techniques to evaluate process performance and support continuous improvement initiatives
• Translate complex data into clear, actionable recommendations for technical teams and leadership

The ideal candidate will have a bachelor's degree along with 5+ years of data analysis experience in a manufacturing environment. Candidates should be proficient in analytical tools such as Excel, SQL, Python, or R, with experience developing dashboards and visualizations using Power BI or Tableau.

This is an opportunity to join a growing organization where data analytics plays an important role in shaping manufacturing performance. You'll work closely with technical leadership, contribute directly to process improvement initiatives, and have the opportunity to influence how data is used to support operational decisions as the business continues to expand.