Senior Data Analyst – Wealth Analytics (Hybrid)

Consort Group; Lisboa; Híbrido; EUR 39 000 - 52 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

TR card

CSE

Resumo da oferta

Consort Group in Lisbon seeks a Senior Data Analyst to turn complex financial data into clear, actionable insights. You will design end-to-end data workflows with Dataiku, craft robust models for AUM, and build Power BI dashboards for executives.

The role combines data engineering and analytics in a collaborative, international team. You should have 5+ years in data analytics, strong SQL and Python skills, and experience with data governance and regulatory reporting in a wealth management

Qualificações

• This position requires at least 5 years in data analytics, preferably in regulated financial environments.
• Strong SQL and Python skills are essential for data manipulation and automation.
• Experience with data visualization tools and delivering actionable insights to senior stakeholders.

Responsabilidades

• Design, develop, and maintain end-to-end data workflows using Dataiku for ingestion, transformation, and deployment.
• Build robust data models for analytics on AUM, performance, and risk indicators.
• Create and maintain Power BI dashboards for senior stakeholders with real-time insights.
• Define data quality controls ensuring accuracy and traceability across datasets.
• Collaborate with IT and business teams to translate requirements into analytical models and KPIs.

Conhecimentos

SQL

Python

Analytical thinking

Cross-functional collaboration

Ferramentas

Dataiku

Power BI

Tableau

Descrição da oferta de emprego

Consort Group in Lisbon seeks a Senior Data Analyst to turn complex financial data into clear, actionable insights. You will design end-to-end data workflows with Dataiku, craft robust models for AUM, and build Power BI dashboards for executives.

The role combines data engineering and analytics in a collaborative, international team. You should have 5+ years in data analytics, strong SQL and Python skills, and experience with data governance and regulatory reporting in a wealth management