Manufacturing Data Analyst - Power BI & SAP

BWXT

Euclid (OH)

On-site

USD 70,000 - 103,000

Full time

14 days+

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Benefits offered by this job

Health benefits
Flexible work schedule
Paid time off
Professional development
Mentorship programs
Retirement plans

Job summary

BWX Technologies, Inc. is seeking a Manufacturing Data Analyst for on-site work in Euclid, Ohio. You will build reports and data models, validate data, and support continuous improvement across manufacturing operations.

Ideal candidates bring strong analytical skills, experience with Power BI, SQL, and ERP systems, and a collaborative mindset to drive reliable insights and data quality enterprise-wide.

Qualifications

  • Bachelor’s degree in an applicable field; typically, 2+ years of experience.
  • Strong analytical and problem-solving skills with ability to evaluate standard issues.
  • Experience with data analysis, reporting, or related area.
  • Working knowledge of data and reporting tools and established practices.
  • Ability to translate business needs into clear data/reporting requirements.

Responsibilities

  • Develop, maintain, and enhance reports, dashboards, and data models using Power BI, SQL, Excel.
  • Retrieve, validate, transform, and analyze data from multiple sources.
  • Support automation of recurring reporting tasks and data quality.
  • Collaborate with manufacturing, IT, and data teams to deliver reliable information.
  • Document data relationships and establish standardized reporting processes.

Skills

Analytical thinking
Data analysis
Reporting tools
SQL
Excel
Power BI
Data quality
Communication

Education

Bachelor's degree

Tools

SAP
SAP BW
ERP systems
ETL
Data warehousing

Job description

BWX Technologies, Inc. is seeking a Manufacturing Data Analyst for on-site work in Euclid, Ohio. You will build reports and data models, validate data, and support continuous improvement across manufacturing operations.

Ideal candidates bring strong analytical skills, experience with Power BI, SQL, and ERP systems, and a collaborative mindset to drive reliable insights and data quality enterprise-wide.

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