Top Data Analyst Jobs in Portugal

As a Data Analyst, you will collaborate on various projects, analyze and visualize data, support project leaders, and improve performance through data-driven solutions.

Analyze product adoption data, create actionable insights, collaborate with teams, develop dashboards, and drive retention and revenue growth.

The Senior Business Data Analyst & Power BI Developer transforms complex business challenges into data-driven solutions, mentors team members, and drives automation initiatives.

As a Data Analyst, you will collect, clean, and organize data, deliver scalable Power BI dashboards, conduct basic statistical analysis, and collaborate with teams to understand data needs.

The Data Analyst will support the Single Aisle program by collaborating across teams, managing data sets, and enhancing data quality for performance analysis and project management.

The Data Analyst will create user-friendly reports and dashboards, explore data, and develop analytical capabilities for better decision-making.

The Business Data Analyst Trainee will analyze global support data, improve reports, identify trends, and collaborate with teams for data-driven solutions.

As a Data Analyst, you will assist customers in building applications and work on diverse projects across various industries.

Join Santander as a Product Data Analyst Trainee, leveraging data analytics to optimize web and app product decisions, improve user experiences, and support cross-functional teams.

The Analyst will develop and deploy ML models for user behavior prediction, product analysis, and sales forecasting while conducting data analysis and enhancing the AI assistant's performance.

The Data Analyst analyzes fraud patterns, implements prevention rules, collaborates with data scientists, and supports risk strategy performance.

The Data Analyst will own product metrics, analyze user behavior, build dashboards, provide data-driven recommendations, and support product improvement through data insights.

As a Data Analyst, you will work with large datasets, analyze data, identify trends, create reports, and ensure data quality.

The Data Analyst will develop dashboards, improve Power BI reports, analyze data structures, and ensure data integrity within procurement processes.

The Data Analyst will analyze data from multiple sources, conduct statistical analysis, and communicate findings through reports and visualizations to inform business decisions.

Collaborate with teams to drive product insights, analyze data trends, build dashboards, and mentor junior analysts while optimizing product strategies.

The Data Analyst will analyze large datasets, use statistical methods, create visualizations and dashboards, and support business decision-making.

The Mid-Level Data Analyst transforms raw data into analyses and reports, identifies trends, and commands data-driven decisions.

The Data Analyst will gather, clean, and analyze data to provide actionable insights, create reports, and collaborate with various departments to improve business performance.

The Data Analyst will analyze complex datasets, provide insights to support business growth, and create visual reports. Collaboration with stakeholders and technical teams is essential.

The Data Analyst Senior will analyze, implement, and test IT solutions related to the Data Warehouse, ensure documentation compliance, propose improvements, and communicate results with management.

The Data Senior Analyst will manage fleet allocation and relocation across multiple countries, collaborate with various teams, develop analysis tools, and advise on vehicle procurement.

The Data Analyst will conduct salary benchmarking research, analyze data from various systems, and present actionable insights to drive business growth.

The Senior Data Analyst will support marketing strategy through data-driven insights, budget allocation, KPI tracking, and marketing performance measurement.

As a Senior Data Analyst, you'll analyze data to support product and operations teams, contribute to analytics projects, and promote data-driven culture.