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.
RESPONSIBILITIES:
This role owns the data foundation for the Finance analytics products, platforms, and AI use cases ultimately depends on. It sits at the intersection of platform infrastructure - SAP BR, GCP, and the surrounding ecosystem - and the semantic models & data products that translate raw financial results into trusted, query-ready assets for the rest of the function.
Its responsibilities lie in design and maintaining the semantic models that define how financial results are structured, joined, and exposed: revenue, cost, margin, allocations, hierarchies, time dimensions, and the business logic that makes them consistent across consumers. They work with the data products themselves - the tables, views, and queries published - including their schema, performance, lineage, refresh cadence, and documentation. They make the infrastructure decisions that determine the performance a query, whether a model scales when a new entity is onboard, and whether downstream applications and AI agents are working from a single source of truth or from fragmented copies.
The work requires deep fluency with finance platforms native upstream, strong modeling discipline (dimensional, semantic, and performance-oriented), and enough Finance context to understand grain, hierarchies, and calculation logics. Finally, it partners with our ecosystem of business experts to shape visual frameworks that derive action-oriented insights.
REQUIREMENTS:
Degree in one of the following fields: Economics / Engineering / Computer Science.
4-6 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.
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 a strong plus
Experience using Python/R, and their dependencies is a plus (Pandas, Numpy, Scikit-Learn, etc).
SAP BR/SAP FIN or related data finance tools experience is desirable
