Electrification Systems Quality Data Analyst will be responsible for developing a professional data analytics approach to the quality & customer satisfaction data and support digitalization of quality process in order to enhance quality assurance and quality process efficiency. GE Vernova’s businesses provide products and services through its Power, Wind and Electrification segments. The Power segment consists of Gas Power, Nuclear Power, Hydro Power, and Steam Power, the Wind segment consists of Onshore Wind, Offshore Wind and LM Wind, and the Electrification segment consists of Grid Solutions, Power Conversion, Electrification Software and Solar & Storage Solutions.
Name of the
Organization: GE Vernova
Requisition
ID: R5000312
Positions: Data
Analyst Quality (F/M)
Location: Bangalore,
Chennai & Noida
Salary: As per
company Norms
Educational
Qualifications:
- Master's Degree from an accredited university or college in Data Analytics and/or related field
- Data management & analytics experience, preferably in quality management in a projects and/or manufacturing and engineering
- Minimum 2 years of experience working with Data analytics and digital quality
Desired
Characteristics:
- Interpersonal skills & communication
- Fast oriented in multifaceted stakeholder management
- Teamwork oriented
- Ability of effective cross-functional collaboration
- High energy, self-driven
- Structured and well organized
- Strong oral and written communication skills
- Lean mindset and experience of Built-in-quality lean approach
Responsibilities:
- Developing scientifical Data Analytics approach for quality and customer satsifaction with needed process & tools evolution
- Manage quality and customer data
- Support to quality processes enhancing quality assurance
- Change management & continuous improvement adapted to the evolving business needs
- Drive continuous improvement of quality processes & tools with lean mindset based on identified performance gaps and product & service evolution
- Provide support and technical guidance to the business lines to assure quality process development
- Support AI quality applications with focus on data collection and management
- Work collaboratively inside and outside GE to identify and leverage best practices
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