Data Analyst

Engie; Madrid; Presencial; EUR 30.000 - 45.000; Jornada completa

Descripción de la vacante

Engie seeks a Data Analyst to lead digital transformation by automating workflows and developing scalable data solutions. In this full-time role, you will enhance performance through data management, creating impactful BI dashboards, and ensuring operational stability. Join a diverse team and contribute to a carbon-neutral economy.

Servicios

Flexible schedules and hybrid work arrangements

Access to transportation and childcare vouchers

Opportunities for professional growth

Health insurance coverage

Formación

• Experience in data modeling, ETL/ELT development, and data warehousing (2+ years).
• Proficiency with SQL, NoSQL databases, and AWS services.
• Strong skills in Python and deploying end-to-end data solutions.

Responsabilidades

• Automate workflows and develop data solutions to improve performance.
• Create and maintain performance dashboards and BI reports.
• Collaborate with stakeholders to align data solutions with strategic goals.

Conocimientos

Data Analytics

Python

ETL/ELT Development

SQL

BI Tools

Herramientas

Power BI

Apache Airflow

AWS

Spark

Descripción del empleo

Our Group is a global leader in low-carbon energy and services. With 96,000 employees, we are committed to accelerating the transition to a carbon-neutral economy through reduced energy consumption and environmentally friendly solutions.

We are seeking a Data Analyst to lead digital transformation initiatives by streamlining workflows and developing scalable data solutions that improve performance and enable data-driven decisions.

Mission

Your role is to drive digital transformation by automating workflows and delivering high-quality data solutions that optimize performance and support informed decision-making. You will work across the entire data stack, from ETL pipelines and data modeling to developing impactful BI dashboards, ensuring technical excellence, operational stability, and continuous improvement.

You will also manage operational issues, address escalations, and support incident and problem management to enhance service quality and customer satisfaction.

Functions

• Automate and optimize business processes through scripting and data tools.
• Design and develop scalable data architecture and pipelines (ETL/ELT).
• Create and maintain performance dashboards and BI reports (Power BI).
• Ensure quality, scalability, and maintainability of solutions through testing and best practices.
• Monitor application performance, identify gaps, and propose improvements.
• Participate in incident management, root cause analysis, and problem resolution.
• Collaborate with stakeholders to align data solutions with strategic goals.
• Support data governance, reporting standards, and performance metrics.
• Contribute to customer satisfaction and continuous improvement initiatives.

Qualifications:

• At least 2 years of experience in data modeling, ETL/ELT development, and data warehousing.
• Proven experience with SQL/NoSQL databases, AWS services, and data engineering tools.
• Strong skills in Python, Apache Airflow, Spark, and Lambda functions.
• Experience deploying end-to-end data solutions.
• Proficiency in Python and BI tools like Power BI.
• Solid understanding of database design principles.
• Hands-on experience with data architecture, pipelines, and cloud services (AWS).

Inclusion and Benefits

At ENGIE, we value diversity and inclusion. We are committed to supporting the transition to a carbon-neutral economy by fostering a diverse workforce.

What We Offer:

• Flexible schedules and hybrid work arrangements.
• Access to various benefits such as transportation, childcare vouchers, training, meals, and health insurance.
• Opportunities for professional growth within a dynamic team.
• Collaboration with a multidisciplinary team dedicated to sustainability.

Why ENGIE?

• Seeking a solid professional project with growth opportunities.
• Wanting to be part of the world’s leading independent energy group.
• Looking to develop within a challenging and innovative company.
• Passionate about making a positive environmental impact.
• Interested in working in an international, sector-leading organization.

Required Experience:

Key Skills: Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis, Analytics.

Employment Type: Full-Time

Experience: 2+ years

Vacancy: 1