Portuguese company hires for hybrid position
Location: Lisbon, Portugal
- ️ Only candidates already based in Portugal will be considered
Work Model: Hybrid
️ Language Requirements English (C1 – Mandatory)
Seniority: Senior (5+ years)
Sector: Banking
Rate Between €4100 - 4400 RV / €2700 - 3000 CTI
- ️ Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success
We are looking for an experienced Senior Data Analyst to join the Data Management & Business Analytics Team within one of the world's leading Wealth Management organizations.
As part of the Wealth Management Data Office, you will contribute to strategic initiatives focused on Data Governance, Data Analytics, Data Quality, and Business Intelligence, supporting senior stakeholders across multiple international markets.
This is an opportunity to work in a highly visible role, transforming complex data into actionable insights that influence business decisions, portfolio performance analysis, risk monitoring, and regulatory reporting.
You will collaborate with teams across Portugal, France, Switzerland, Luxembourg, Germany, and Monaco within a multicultural and innovation-driven environment.
BNP Paribas Wealth Management is a global leader in Private Banking, managing over €462 billion in assets and serving clients across Europe, Asia, and the Middle East.
The Portugal International Markets Hub (PIMH) supports several international Wealth Management entities and acts as a strategic competence center for data, analytics, governance, and operational excellence initiatives.
As part of the Data Management & Business Analytics Team, you will work directly with the Head of Data Analytics based in Paris and contribute to the evolution of data-driven decision-making across the organization.
Data Engineering & Analytics
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Design, develop, and maintain end-to-end data workflows using Dataiku and related analytics platforms.
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Manage data ingestion, transformation, validation, and deployment processes.
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Ensure scalable and reliable data pipelines supporting Wealth Management analytics initiatives.
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Support the evolution of analytical frameworks and reporting capabilities.
Business Intelligence & Reporting
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Build, optimize, and maintain executive-level Power BI dashboards and reports.
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Deliver real-time insights related to:
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Assets Under Management (AUM)
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Portfolio Performance
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Business KPIs
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Risk Metrics
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Transform complex business requirements into meaningful visualizations and actionable insights.
Data Governance & Quality
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Ensure data quality, consistency, traceability, and governance standards across business domains.
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Maintain robust data lineage and documentation practices.
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Support audit, regulatory, and compliance reporting requirements.
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Collaborate with data owners to improve data management processes and controls.
Stakeholder Engagement
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Partner with business and technical stakeholders to translate strategic objectives into measurable KPIs.
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Communicate analytical findings to both technical and non-technical audiences.
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Act as a trusted advisor for data-driven decision-making initiatives.
Leadership & Knowledge Sharing
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Mentor junior analysts and support the development of analytical best practices.
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Contribute to internal training initiatives and documentation standards.
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Promote a culture of continuous improvement and data literacy across the organization.
Education
Bachelor's or Master's Degree in:
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Finance
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Information Technology
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Statistics
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Mathematics
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Data Science
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Engineering
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Related disciplines
Professional Experience
✅ Minimum 5 years of experience in Data Analytics.
✅ Previous experience within:
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Banking
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Financial Services
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Wealth Management
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Asset Management
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Financial Institutions
Data Visualization & Analytics
✅ Strong experience with:
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Power BI
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Tableau
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Data Visualization
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KPI Design
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Executive Reporting
Data Management & Processing
✅ Experience with at least one of the following:
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Dataiku
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Alteryx
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SAS
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Domino
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Python
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SQL
✅ Strong knowledge of:
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Data Modeling
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Data Transformation
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Data Quality Management
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Data Governance
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Wealth Management domain knowledge.
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Private Banking experience.
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Regulatory reporting exposure.
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Risk and performance analytics.
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Data Lineage and Metadata Management.
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Business Intelligence architecture.
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Advanced Python programming.
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Advanced SQL optimization techniques.
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Experience working in international and multicultural environments.
We are looking for a data professional who combines strong analytical expertise with business acumen and excellent stakeholder management capabilities.
The ideal candidate:
✅ Has a strong passion for transforming data into business value.
✅ Understands the importance of data governance and quality.
✅ Can confidently communicate insights to senior stakeholders.
✅ Enjoys solving complex business problems using data.
✅ Is highly organized and detail-oriented.
✅ Thrives in international and collaborative environments.
✅ Demonstrates autonomy, accountability, and a proactive mindset.
✅ Is committed to continuous learning and professional development.
✅ Enjoys mentoring and supporting the growth of other team members.
Before applying, ask yourself:
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Do I have at least 5 years of experience in Data Analytics?
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Have I worked within Banking, Financial Services, Wealth Management, or Asset Management environments?
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Am I experienced in Power BI, Tableau, or other data visualization tools?
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Have I developed end-to-end data workflows and analytics solutions?
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Do I have hands-on experience with Dataiku, Alteryx, SAS, Domino, Python, or SQL?
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Am I comfortable translating business questions into KPIs and analytical frameworks?
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Have I worked with data governance, data quality, and regulatory requirements?
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Can I communicate effectively with both technical and business stakeholders?
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Have I mentored junior team members or contributed to knowledge-sharing initiatives?
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Am I comfortable working in an international and multicultural environment?
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Can I communicate fluently in English?
If your answer is "Yes" to most of these questions, we would love to hear from you.
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Work for one of the world's leading Wealth Management organizations.
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Influence strategic decisions through data and analytics.
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Collaborate with international teams across Europe.
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Gain exposure to Private Banking, Wealth Management, and Financial Analytics.
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Work with modern analytics and business intelligence platforms.
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Participate in high-visibility projects with executive stakeholders.
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Grow your career in a global, innovation-driven environment.
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Hybrid work model offering flexibility and collaboration.
Senior Data Analyst, Data Analytics, Business Intelligence, Dataiku, Power BI, Tableau, SQL, Python, Data Modeling, Data Governance, Data Quality, Data Management, Data Visualization, Dashboard Development, KPI Development, Executive Reporting, Business Analytics, Wealth Management, Private Banking, Banking, Financial Services, Asset Management, Assets Under Management, AUM, Risk Analytics, Performance Analytics, Data Transformation, ETL, Data Pipelines, Data Lineage, Regulatory Reporting, Data Strategy, Data Office, Stakeholder Management, Financial Analysis, Reporting Automation, Analytics Frameworks, Data-Driven Decision Making, Alteryx, SAS, Domino, English C1
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