Factory Data Analytics Engineer & BI Lead

Form Energy; Weirton (WV); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Relocation assistance

Competitive compensation & benefits

Job summary

Form Energy in Weirton, WV is seeking a Data Analytics Engineer to bridge manufacturing data and actionable insights. You will own reporting, dashboards, and BI infrastructure powering our factory operations, partnering with Factory Software, Data Engineering, and Platform teams to deliver real-time data for production optimization.

You’ll design scalable data solutions using SQL and Python, ensure data quality, and promote a data-driven culture on the factory floor.

Qualifications

• 4+ years of experience writing reusable code for data analysis.
• Proficient in SQL and Python within a team setting.
• Experience analyzing data from physical systems.
• Strong written and verbal communication skills.
• Bachelor's degree in Computer Science, Data Engineering, or a related field.

Responsibilities

• Design, develop, and maintain automated reporting and dashboards for factory metrics.
• Own the BI space for the Factory Software team and data requests.
• Translate complex requirements into scalable data solutions and visualizations.
• Build data models and transformations to enable efficient reporting.
• Ensure data quality and 'one version of the truth' across manufacturing.
• Support self-service BI adoption and train internal users.
• Bridge between manufacturing end-users and the software team for data system improvements.

Skills

Data analysis

SQL

Python

Communication

Independent work

Manufacturing knowledge

Stakeholder collaboration

Education

Bachelor's in CS/Data Eng

Tools

Jira

Job description

Form Energy in Weirton, WV is seeking a Data Analytics Engineer to bridge manufacturing data and actionable insights. You will own reporting, dashboards, and BI infrastructure powering our factory operations, partnering with Factory Software, Data Engineering, and Platform teams to deliver real-time data for production optimization.

You’ll design scalable data solutions using SQL and Python, ensure data quality, and promote a data-driven culture on the factory floor.