We're looking for a Senior Data Analyst who is passionate about transforming data into actionable insights, driving a data-driven culture, and delivering real business impact. Join a team focused on advanced analytics, data governance, and artificial intelligence initiatives, where you'll work on projects that support organizational transformation and continuous improvement.

🎯 Responsibilities

1. Analyze corporate data to identify trends, patterns, risks, and opportunities that inform decision-making.
2. Create dashboards, reports, and key performance indicators using data visualization tools for business interpretation.
3. Design and develop ETL/ELT processes to ensure data availability and reliability.
4. Define and build data models aligned with analytical needs.
5. Ensure quality, consistency, and traceability of data throughout its lifecycle.
6. Work with economic, financial, and operational information, ensuring consistency and reconciliation.
7. Collaborate with business areas to understand needs and translate them into high-value analytical solutions.
8. Participate in data governance initiatives to support structured management of corporate data.
9. Identify opportunities to incorporate Artificial Intelligence and language models (LLMs) into corporate processes.
10. Lead initiatives for automation, innovation, and continuous improvement within the data ecosystem.
11. Promote cross-functional collaboration between departments on processes and data.

🛠️ Requirements

1. Analytical skills, critical thinking, and a problem-solving mindset.
2. Ability to conceptualize, synthesize, and draw conclusions from data.
3. Adapt messages for various audiences; experience in data analysis and exploitation.
4. Knowledge and experience with data visualization tools (Spotfire, Power BI, or similar).
5. Proficiency in Python and advanced SQL.
6. Experience in designing and developing ETL processes.
7. Experience with relational and analytical database modeling.
8. Understanding of data governance, data quality, and metadata management.

➕ Nice to have

1. Knowledge of applied statistics and quantitative analysis.
2. Ability to interact with business users and translate functional requirements into technical solutions.
3. Familiarity with Artificial Intelligence, Generative AI, and language models (LLMs) for business applications.

🤗 We offer

1. Hybrid working model with up to 8 weeks per year of teleworking outside your usual area.
2. Flexible start/finish times; intensive working hours on Fridays and in summer.
3. Personalized career development plan, training opportunities, and language learning support.
4. National and international mobility opportunities.
5. Relocation package for candidates moving from abroad.
6. Competitive compensation with ongoing reviews and flexible benefits.
7. Wellbeing program: Health, dental and accident insurance, free fruit and coffee, and wellbeing training.