OBJECTIVE:
Be part of a multi-disciplinary team of Products Architects, and people with very diverse but specific skills such as UX, storytelling, Data Visualization, Python Scripting and deep-industry knowledge. Contribute as a core team member, driving end-to-end change and results for our clients. We are looking for an out-of-the-box thinker, passionate about innovation and agile development.

RESPONSABILITIES:
This role owns the data foundation for the Finance analytics products and the semantic models that translate raw financial results into trusted data visualization solutions for the rest of the Finance function. Requires enough Finance context to understand grain, hierarchies, and calculation logic. Finally, it partners with our ecosystem of business experts to shape visual frameworks that derive action-oriented insights.

Collaborate with UX and Business Analysts to understand business requirements and data visualization needs, assessing feasibility and suggesting creative answers to business questions.
Develop connections to databases and queries to streamline data ETL processes into Power BI semantic models.
Design and develop semantic models consistent with best practices, ensuring data accuracy and reliability.
Collaborate to create engaging and interactive data visualization solutions that provide clear and actionable insights for business stakeholders.
Implement appropriate access controls and data protection measures to ensure data security.
Troubleshoot issues that may arise to ensure a smooth, timely experience for end users.
Engage in research and stay up-to-date with the latest tools and techniques, independently suggesting improvements to existing tools.

REQUIREMENTS:

• Degree in one of the following fields: Economics / Engineering / Computer Science.
• 2-4 years of experience in finance and/or data modeling and visualization, working with enterprise level heterogeneous data environment & data visualization tools
• Self-starter that is independent, proactive and can operate in a rapidly changing, project driven environment.
• Proven success in contributing to a team-oriented environment.
• Detail-oriented, organized, researcher, with strong critical thinking and problem-solving skills
• Comfortable with an iterative process to continuously improve data visualizations and design based on user feedback
• Experience articulating business questions and using quantitative techniques to arrive at a solution using available data.
• Excellent communication (written and oral) and interpersonal skills.
• Proven experience as a Data Engineer, with expertise in designing and implementing scalable data architectures.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in deploying and managing data solutions in the cloud.

SKILLSET:

• Eager to learn and understand the business, curious by nature, responsible and proactive
• Conceptualize and deliver data visualization solutions solving complex business problems
• Experience with visualization tools, preferably Power BI, and a strong motivation towards learning
• Self-driven, agile and able to work independently and on multiple engagements simultaneously
• AI Oriented profile
• Big Query/SQL knowledge is a strong plus
• SAP BR/SAP FIN or related data finance tools experience is desirable
• Proficiency in Python scripting for data manipulation, ETL processes, and automation.
• Knowledge of Apache Kafka, Apache Airflow, Apache Spark
• Proficient in version control to manage and track changes in code (GIT)
• Containerization (Docker): Understanding of containerization for deploying and managing applications.