Manufacturing Data Analyst: KPI Insights & Reporting

University of Dayton Research Institute

Dayton (OH)

On-site

USD 65,000 - 90,000

Full time

14 days+
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Job summary

University of Dayton Research Institute in Dayton, OH, is seeking a data analyst to support the Sustainment and Readiness Sector by analyzing advanced manufacturing data to improve efficiency and productivity. You will gather data, report metrics to management and clients, and identify KPIs to guide improvements.

The role requires a Bachelor's degree, 1+ years in data analytics, and strong Excel, SQL, and Power BI skills. U.S.

Qualifications

  • Bachelor's Degree in business, data analytics, MIS, or related field.
  • 1+ years of data analytics experience.
  • Identify, collect, analyze, and report performance metrics to management and clients.
  • Familiarity with KPIs in advanced manufacturing.
  • Exceptional attention to detail for data accuracy.
  • Technical writing for queries, reports, and presentations.
  • Identify actionable recommendations to improve efficiency and productivity.
  • Proficiency with MS Excel.

Responsibilities

  • Analyze advanced manufacturing process data to improve efficiency.
  • Report performance metrics to internal management and external clients.
  • Determine KPIs for current processes and provide actionable recommendations.
  • Collaborate in a team environment and provide staff support.

Skills

Data analytics
Technical writing
Analytical thinking
Team player
Self-starter
Attention to detail

Education

Bachelor's degree in business, data analytics, MIS, or related

Tools

SQL
Power BI
MS Excel

Job description

University of Dayton Research Institute in Dayton, OH, is seeking a data analyst to support the Sustainment and Readiness Sector by analyzing advanced manufacturing data to improve efficiency and productivity. You will gather data, report metrics to management and clients, and identify KPIs to guide improvements.

The role requires a Bachelor's degree, 1+ years in data analytics, and strong Excel, SQL, and Power BI skills. U.S.

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