Data Analyst Senior

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

Main tasks:

• Analyses, plans, implements and technically tests IT solutions in the context of projects within the scope of the DataWarehouse.
• Ensures the formalization and ensures that documentation is completed in accordance with current procedures.
• Occasionally participates in meetings with the Business Areas and in working sessions with the team responsible for functional definition, carrying out certification/quality tests and monitoring UAT tests.
• Proposes improvements to management platforms and tools, with the aim of optimizing and innovating them.
• Formalize and documents the technical analyses it carries out, the technical solutions it implements, the technical tests it performs and the decision-making meetings it participates in.
• Communicates and validates its activities and decisions with the person in charge, thus ensuring that they are aligned with the department's recommendations in terms of posture and Roadmap.
• Reports to the Data Hub Chapter.

Technical Skills:

• Knowledge of programming Microsoft BI Tolls
• SQL/T-SQL
• Power Bi
• Jira/Confluence/ Draw IO
• Knowledge of applications from a user perspective: MS Outlook, Word, Excel and PowerPoint
• Bachelor's or Master's degree in Computer Engineering, Information Technology or similar areas.
• Experience in Datawarehouse solutions, with an understanding of all phases of construction.
• Minimum of 6 years of experience in functional/technical analysis and definition of corporate data models.
• Analytical skills and clear skills for conceptual designs that respond transversally to the Datawarehouse.
• Experience in projects/environments with Agile framework.
• Preference for experience in models with Data Vault methodology.
• Preference for experience in the Banking area (consumer credit)

Language skills:

• Portuguese
• English

Soft skills:

Strong communication and organizational skills

Ability to gather requirements, document and lead meetings

Autonomy and proactivity. Critical thinking

Ability to synthesize and solve problems. Adaptability and resilience

Focus on the customer and delivering results