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Data Analyst Quality - Job Opportunity at GE Vernova

Paris, France
Full-time
Mid-level
Posted: January 25, 2025
Remote
EUR 45,000 - 65,000 per year based on Paris market rates for mid-level quality analysts with data expertise

Benefits

Remote work flexibility enhancing work-life balance
Career development in a global industry leader
Exposure to cutting-edge AI and quality management systems
Collaborative international work environment

Key Responsibilities

Lead development of scientific data analytics frameworks for quality and customer satisfaction metrics
Manage and optimize quality and customer data systems
Drive quality process digitalization and enhancement initiatives
Implement AI-driven quality applications focusing on data collection
Provide technical guidance and support to business lines for quality process development
Execute change management and continuous improvement programs

Requirements

Education

Master's Degree in Data Analytics or related field

Experience

Minimum 2 years of experience working with Data analytics and digital quality

Required Skills

Data management & analytics Quality management 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
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Sauge AI Market Intelligence

Industry Trends

Integration of AI and machine learning in quality management systems is rapidly accelerating, with a 40% increase in adoption over the past two years Quality analytics is shifting from reactive to predictive approaches, emphasizing real-time data analysis and preventive measures Digital transformation in quality management is creating increased demand for data-driven decision making capabilities

Role Significance

Typically part of a 5-8 person quality team, collaborating with cross-functional teams of 15-20 members
Mid-level position with significant impact on quality processes and strategic decision-making. Role serves as a bridge between technical quality systems and business operations.

Key Projects

Implementation of predictive quality analytics systems Development of customer satisfaction data frameworks Quality process digitalization initiatives AI-driven quality control systems

Success Factors

Strong balance of technical data skills and quality management expertise Ability to translate complex data insights into actionable quality improvements Change management capabilities for digital transformation Cross-functional collaboration and stakeholder management

Market Demand

High demand with 25% growth projected over next 3 years due to increasing focus on data-driven quality management and digital transformation initiatives

Important Skills

Critical Skills

Advanced data analytics with quality focus - essential for predictive quality management Change management capabilities - crucial for digital transformation success Stakeholder management - key for cross-functional effectiveness

Beneficial Skills

AI/ML knowledge for future quality systems Industry 4.0 understanding Energy sector knowledge

Unique Aspects

Rare combination of quality management and advanced analytics in energy sector
Direct involvement in energy transition initiatives
Global exposure with local impact

Career Growth

2-3 years in role before advancement, with accelerated growth possible based on digital transformation impact

Potential Next Roles

Senior Quality Analytics Manager Quality Digital Transformation Lead Head of Quality Systems Data Science Manager - Quality

Company Overview

GE Vernova

GE Vernova represents the energy portfolio of General Electric, focusing on renewable energy, power generation, and digital solutions

Major player in global energy transformation, particularly strong in European markets
Strategic position in Paris supports European operations with significant growth potential
Innovation-driven environment with strong emphasis on digital transformation and sustainable energy solutions
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