Business Intelligence Specialist - Finance

Business Intelligence Specialist - Finance
Lisboa
Lisboa, Lisboa, Portugal

Key Responsibilities Data Analysis & Reporting

Collect, analyze, and interpret large financial and operational datasets from internal and external sources.

Develop and maintain interactive dashboards and reports (e. g. , Power BI, Tableau, Qlik).

Identify financial trends, performance drivers, and insights that support
- making across the organization.

Business Intelligence Development

Build, optimize, and maintain financial BI solutions
-
- end, including ETL processes, data models, and dashboards.

Work with stakeholders to define key financial metrics (KPIs) and reporting requirements.

Ensure data accuracy, consistency, and quality across all financial BI outputs.

Stakeholder Collaboration

Partner closely with Finance and business teams to understand analytical needs and translate them into impactful BI solutions.

Present insights and recommendations to senior management in a clear, structured, and
- savvy manner.

Train users on BI tools, dashboards, and best practices, with a focus on
- related reporting.

Data Governance & Quality

Support data governance efforts by documenting financial data definitions and ensuring compliance with internal standards.

Contribute to continuous improvement of data processes, sources, and data architecture.

Required Qualifications

Bachelor's or Master's degree in Business, Finance, Data Science, Computer Science, Economics, Engineering, or a related field.

3–5 years of experience in BI, data analysis, or reporting within a Finance domain.

Strong expertise in BI tools such as Power BI, Tableau, Qlik, or similar.

Proficiency in SQL and experience working with relational databases.

Solid understanding of data modeling, ETL concepts, and data warehousing principles in Microsoft Fabric (or advanced knowledge of building ETL, data models, and dashboards on the Microsoft Fabric platform).

Strong analytical and
- solving skills with exceptional attention to detail.

Ability to communicate complex financial and technical concepts to
- technical stakeholders.

Fluency in financial terminology and comfort working closely with Finance teams.

Preferred Qualifications

Experience with Python or R for advanced analytics.

Knowledge of
- based data platforms (Azure, AWS, GCP).

Experience in automation, process optimization, and financial forecasting.

Familiarity with KPI design, financial performance dashboards, and modeling.

Personal Attributes

Proactive, curious, and strongly
- driven.

High sense of ownership and accountability.

Ability to thrive in a
- paced, dynamic environment.

Excellent communication and presentation skills, especially with finance stakeholders.