Engineering Business Analyst
GE Vernova (company site, opens in a new tab)6+ yrsNoidaOn-siteDirect career pageEst. 12–22 LPA
Posted 11h ago
Reach people at GE Vernova
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at GE Vernova you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Connect engineering, operations, and business priorities to drive efficient execution and improved performance in grid modernization projects.
- Gather and analyse business and technical requirements; develop insights and reports (dashboards, KPIs) to support project delivery, engineering productivity, and operational performance.
- Facilitate communication and support process improvements, tool implementations, and change coordination across cross-functional teams involved in grid technologies and project management.
Minimum Requirements
- Bachelor’s degree in Engineering plus Master's in Business Administration (Operations or Equivalent) or related field.
- 6+ years of overall work experience in Electrical Substations, Grid Substations, or equivalent domains.
- Experience in business analysis, engineering operations, project support, or process improvement.
- Proficiency in Excel and familiarity with reporting or visualization tools; strong communication and stakeholder management skills.
Ideal Candidate Profile
- Experience in grid, power systems, utilities, or energy infrastructure projects, especially transmission, distribution, substations, protection/control, grid automation, or HVDC.
- Comfortable working in cross-functional and matrixed environments collaborating with engineering and business teams; capable of translating complex operational data into actionable business insights.
- Familiarity with analytics tools like Power BI, Tableau, or SQL and methodologies such as Lean, Six Sigma, Agile, or continuous improvement.