Schneider Electric is looking for a
VIE Data & Application Analyst to join the Global Safety Governance team in Madrid.
You will contribute to strengthening
Health & Safety data governance, analytics and digital applications used across the organization. Working with Health & Safety experts, regional teams and Digital/IT stakeholders, you will help improve data quality, develop meaningful insights and support the continuous improvement of global safety digital solutions.
This is a great opportunity to combine
data analytics, digital tools and business collaboration in an international environment while contributing to Schneider Electric's digital safety transformation.
What will you do?Data quality & governance- Analyse safety datasets to identify inconsistencies, gaps and anomalies.
- Support the implementation of data quality controls, validation rules and monitoring indicators.
- Contribute to defining and improving data standards, governance practices and documentation.
Data integration & analysis- Collect, consolidate and analyse data from multiple Health & Safety systems.
- Support data integration initiatives to provide a consistent and reliable view of safety performance.
- Identify opportunities to improve data flows and reporting processes.
Dashboards & business insights- Develop and maintain dashboards and data visualisations for Health & Safety teams.
- Transform complex datasets into clear and actionable business insights.
- Help identify trends, patterns and potential areas of risk.
Advanced analytics & AI- Contribute to statistical analysis and data modelling initiatives.
- Explore the use of machine learning and AI to identify patterns and correlations across incidents, near misses and risk-related data.
- Support predictive analytics initiatives designed to help identify potential safety risks and enable preventive actions.
Business partnering & application support- Work closely with Health & Safety experts, regional stakeholders and Digital/IT teams to understand business needs.
- Translate user requirements into data, analytics and application improvement opportunities.
- Contribute to the continuous improvement and adoption of global safety digital tools.
What qualifications will make you successful?- Master's degree in Data Science, Engineering, Digital/IT, Business Analytics
- First experience in data analytics, statistics, machine learning or AI
- Good understanding of data management and working with data from multiple sources
- Experience with data visualisation and dashboarding tools
- Ability to translate data and technical findings into clear business insights
- Interest in Health & Safety, ESG, operational risk or digital transformation
- Strong analytical and problem-solving skills
- Good communication and collaboration skills in an international environment
- Fluent English for day-to-day collaboration with global teams
Bring your analytical talent to a team that's ready to invest in your future - apply today!
VIE
Looking to make an IMPACT with your career? When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
Become an IMPACT Maker with Schneider Electric - apply today!
€40 billion global revenue
+9% organic growth
150 000+ employees in 100+ countries
You must submit an online application to be considered for any position with us. This position will be posted until filled.
Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.
At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.
Responsibilities
Schneider Electric is looking for a
VIE Data & Application Analyst to join the Global Safety Governance team in Madrid.
You will contribute to strengthening
Health & Safety data governance, analytics and digital applications used across the organization. Working with Health & Safety experts, regional teams and Digital/IT stakeholders, you will help improve data quality, develop meaningful insights and support the continuous improvement of global safety digital solutions.
This is a great opportunity to combine
data analytics, digital tools and business collaboration in an international environment while contributing to Schneider Electric's digital safety transformation.
What will you do?Data quality & governance- Analyse safety datasets to identify inconsistencies, gaps and anomalies.
- Support the implementation of data quality controls, validation rules and monitoring indicators.
- Contribute to defining and improving data standards, governance practices and documentation.
Data integration & analysis- Collect, consolidate and analyse data from multiple Health & Safety systems.
- Support data integration initiatives to provide a consistent and reliable view of safety performance.
- Identify opportunities to improve data flows and reporting processes.
Dashboards & business insights- Develop and maintain dashboards and data visualisations for Health & Safety teams.
- Transform complex datasets into clear and actionable business insights.
- Help identify trends, patterns and potential areas of risk.
Advanced analytics & AI- Contribute to statistical analysis and data modelling initiatives.
- Explore the use of machine learning and AI to identify patterns and correlations across incidents, near misses and risk-related data.
- Support predictive analytics initiatives designed to help identify potential safety risks and enable preventive actions.
Business partnering & application support- Work closely with Health & Safety experts, regional stakeholders and Digital/IT teams to understand business needs.
- Translate user requirements into data, analytics and application improvement opportunities.
- Contribute to the continuous improvement and adoption of global safety digital tools.
What qualifications will make you successful?- Master's degree in Data Science, Engineering, Digital/IT, Business Analytics
- First experience in data analytics, statistics, machine learning or AI
- Good understanding of data management and working with data from multiple sources
- Experience with data visualisation and dashboarding tools
- Ability to translate data and technical findings into clear business insights
- Interest in Health & Safety, ESG, operational risk or digital transformation
- Strong analytical and problem-solving skills
- Good communication and collaboration skills in an international environment
- Fluent English for day-to-day collaboration with global teams
