Reliability Data Analyst

It takes the brightest minds to be a technology leader. It takes imagination to create green energy for the generations to come. At Siemens Gamesa we make real what matters, join our global team.

Siemens Gamesa has a vision for renewable energy: we believe in the power of nature and technology. Help us to be ready to face the energy challenges of tomorrow and make a green footprint – join the team in creating a better future for us on our planet.

We focus on hiring the best people, wherever they may be in the world. We pride ourselves on the flexibility we offer to our employees and are committed to building a workforce that can grow with the company. Siemens Gamesa is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

In our culture of trust, we focus on empowerment, diversity and continuous learning. Valuing our people is what makes us one global team, with our colleagues’ safety at the heart of our organization.

How to contribute to our vision

Main responsibilities of the position are:

Responsible of design for reliability process, by defining and assessing reliability requirements for new products designed Define the deliverables in our New Product Development process for each project gates, develop necessary procedures and guidelines Be the focal point inside within our Technology team regarding reliability, developing the technical knowledge across the product platforms Analyze fleet data and assess product reliability, support product designers to identify measures to ensure required reliability Collaborate with reliability teams across the company

What you need to make a difference

Analytical mind with a problem-solving attitude and strong communication- and project management skills You have shown ability to implement and bring concepts to live in a fast moving and changing environment You are committed to deadlines and show ownership on your assignments You are Team-player with a can-do attitude, open to feedback from peers and managers and willingness to learn and develop You must be able to work independently in cross-functional initiatives with a variety of stakeholders and work effectively at all levels in an organization You have a strong quality and result orientation

Position Qualifications and Required Skills:

Academic degree in Engineering, Computer Science, Data Science, Business Analytics or similar Work experience of 3-5 years in data analytics and applied reliability methods, preferably within wind industry product development environment International work experience e.g., as part of an international project team or working abroad including strong English proficiency General broad understanding of- and interest in Wind Turbine technology and underlying principles Good communication skills are required to discuss analysis and results.

Preferred Experience:

Experience in Reliability Centered Maintenance Familiar with SAP and tools for Product Lifecycle management, such as Teamcenter

In return of your commitment we offer you…

Become a part of our mission for sustainability: Clean energy for generations to come A global team of diverse colleagues who share passion for renewable energy Trust and empowerment to make your own ideas reality Personal and professional development to grow internally within our organization Flexible working hours as well as home-office (depending on the position, legal entity or responsibilities) Attractive remuneration package Local benefits such as subsided lunch, employee discounts and much more

Empowering our people

How do you imagine the future?

Our global team is on the front line of tackling the climate crisis, reducing carbon emissions – the greatest challenge we face.

Severely disabled applicants are encouraged to reach out to us. We have inclusive recruiting processes specifically for severely disabled persons in Spain and we do our utmost to tailor working spaces to suit your individual needs. In cases of severe disability, applicants who are equally qualified will be given preferential consideration.

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