Top Data Analyst Jobs in Lisbon

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

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 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.

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

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.

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 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.

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

The Senior Data Analyst will design A/B tests, build data infrastructure, analyze user behavior, and enhance reporting systems for decision-makers.

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.

The Junior Data Analyst will create and improve reports, ensuring data quality and supporting decision-making through trend analysis and collaboration with product teams.

Conduct data analysis to support business planning and decision-making, monitor market trends, and assist commercial teams with insights and reporting.

As a Business Analyst & Data Annotator, you'll gather business requirements, manage data labeling workflows, and collaborate with ML teams to ensure high-quality data for training models.

The Junior Data Analyst will collect and organize data, create Power BI dashboards, perform statistical analysis, and collaborate with teams to identify data needs.

The Junior Data Analyst will collect, clean, and organize data, create Power BI dashboards, analyze trends, and collaborate with teams for data needs.

The Sr. Data Analyst will design performance metrics, build data visualization tools, conduct ecosystem analyses, and collaborate with business partners across departments to empower data-driven decision making.