Manufacturing Data Analyst – Drive Efficiency & Insights

Pride Mobility Products Corporation; Duryea (Luzerne County); On-site; USD 44,000 - 59,000; Full time

Job summary

Pride Mobility Products Corporation is seeking a Manufacturing Data Analyst to collect, clean, and analyze production data, helping monitor performance and identify efficiency improvements. You will maintain dashboards, generate reports, and support cross-functional teams in optimization initiatives.

Responsibilities include KPI updates, root cause data gathering, and collaboration with Engineering and IT, with a focus on data integrity and continuous improvement.

Qualifications

• Requires high school diploma or GED; preferred degree in data analytics or related field.
• Experience with data collection, cleaning, validation, and reporting in a manufacturing context is beneficial.
• Familiarity with KPI tracking, dashboards, and data visualization tools.

Responsibilities

• Review operational data to identify bottlenecks and inefficiencies for review by Manufacturing Data Analyst.
• Collect, clean, validate, and organize data to update KPIs and flag inconsistencies.
• Update dashboards and reports to monitor production performance, downtime, yield, and quality metrics.
• Perform basic descriptive analysis to identify trends and improvement opportunities.
• Prepare data summaries to support decision-making on workflows and resources.
• Assist with data collection, reports, and visualizations for root cause analysis under guidance.
• Maintain data files and pipelines, performing quality checks for data integrity.

Skills

Team player

Detail-oriented

Problem-solving

Cross-functional

Excel

Power BI

SQL

Data visualization

Communication

Education

High School Diploma or GED

Associate's or Bachelor's degree (preferred) in Data Analytics/Related field

Tools

Microsoft Excel

Microsoft Power BI

SQL

Job description

Pride Mobility Products Corporation is seeking a Manufacturing Data Analyst to collect, clean, and analyze production data, helping monitor performance and identify efficiency improvements. You will maintain dashboards, generate reports, and support cross-functional teams in optimization initiatives.

Responsibilities include KPI updates, root cause data gathering, and collaboration with Engineering and IT, with a focus on data integrity and continuous improvement.