04 ago
|
Baker Hughes Gruppe
|
Firenze
04 ago
Baker Hughes Gruppe
Firenze
Join our successful team!
Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Baker Hughes is the leading energy technology company, delivering across the energy value chain in over 120 countries with innovative technologies that make energy safer, cleaner and more efficient.
Partner with the best
As Lead Engineer, Mathematics & Data Science, Engineering Operations and Transformation, you will work in supporting Engineering and Technology teams toward operational excellence, focusing on Demand vs Capacity Analysis, costs and engineering rate control, and outsourcing leverage. You will drive the organization toward a data‑driven mindset, enabling analysis and decision making through data analytics. Through a statistical approach you will determine key process drivers impacting performance and describe future scenarios.
Responsibilities
- Driving Engineering Teams Demand vs Capacity Analysis
- Analyzing demand evolution over quarters to understand trends and variances versus actuals
- Driving Engineering Teams to accurate and timely vouchering allocation
- Working with outsourcing leaders and quality leaders to build the appropriate supply base
- Supporting the team in milestones and earned value management implementation and adoption
- Supporting functional costs analysis to understand cost drivers and drive cost‑reduction actions
- Applying data analytics to engineering processes
- Driving a proactive data‑driven approach throughout the engineering chain, enabling decision making and acting as an ambassador of the mindset
- Developing positive relationships and working closely with IET Engineering Leaders and Operations to enable decision making and share best practices
- Communicating results to various audiences from key executives to operative resources in the organization
Fuel your passion
To be successful in this role you will have
- Master’s degree in Mathematics, Statistics, Finance or Engineering
- Significant experience in data management and proven analytical and organizational ability
- Exceptional ability to interact with global, multicultural teams and foster collaboration in matrix organizations
- Ability to coordinate several projects simultaneously
- Effective problem identification and solution skills
- Experience working with internal stakeholders
- Strong oral and written communication skills for reporting, stakeholder engagement, and team coordination
Desired Characteristics
- Experience in operations or finance
- Excellent communication, presentation and facilitation skills
- Green or Black Belt certified
- Ability to influence others and lead initiatives of moderate scope and impact
Work in a way that works for you
We recognize that everyone is different, and the way in which people want to work and deliver at their best varies. In this role, we can offer the following flexible working patterns:
- Working flexible hours—flexing the times you work during the day to fit everything in and work when you are most productive
Benefits
- Contemporary work‑life balance policies and wellbeing activities
- Comprehensive private medical care options
- Safety net of life insurance and disability programs
- Tailored financial programs
- Additional elected or voluntary benefits
The initial pay range for this position will be EUR 43,599.34 to 59,400.
The provisions of Contratto Collettivo Industria Metalmeccanica e della installazione di impianti will be applied to this position. Section VI – Titolo IV of that collective bargaining agreement relates to pay.
The Baker Hughes internal title for this role is: Lead Engineer, Mathematics & Data Science, Engineering Operations and Transformation.
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📌 Lead Engineer, Mathematics & Data Science, Engineering Operations and Transformation (M/F/D) (Firenze)
🏢 Baker Hughes Gruppe
📍 Firenze