Top Data Analyst Jobs in Lisbon

The Data Analyst will analyze datasets, build reports and dashboards, support Product Analytics, and provide insights to drive business decisions.

The Data Center Services Analyst supports outsourced data center services, tracking performance, identifying risks, and ensuring reliable service delivery for hardware deployments.

Analyze business requirements and data across the European analytics platform (Azure/Databricks), validate data quality, support data modelling/mapping, design and maintain Power BI reports, collaborate with engineers and stakeholders to deliver accurate insights for Sales, Underwriting, and Finance.

Design and implement data governance and quality monitoring processes. Develop automated checks, analyze large datasets with SQL/Python, create dashboards and reports, identify root causes of data issues, collaborate with product/engineering/operations, and maintain process and data documentation.

The HR Data Analyst will develop BI solutions using Qlik Sense, automate reporting, and provide analytics support for stakeholders, ensuring high data quality and effective visualization.

The Sales Operations Analyst will analyze sales data, develop reports and dashboards, improve CRM processes, and support sales forecasting and strategies.

As a Lead Data Analyst, you will develop analytics frameworks, extract insights using SQL and Python, and optimize SEO strategies for growth. You will also analyze data related to AI-driven content and collaborate with cross-functional teams to drive improvements in marketing performance.

As a Product Analyst at GoCardless, you'll provide data insights to influence product direction and drive change. Collaborating with various teams, you'll analyze data sets, build user models, and enhance payment intelligence products, ensuring data-driven decision-making and scalability in analytics practices.

As a Data Analyst Intern, you will work with managers to analyze data, create dashboards, identify patterns, and support decision-making.

The role involves managing daily operations and incidents, developing data capabilities, and optimizing data management using GCP and Power BI. Communication with business units is key.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

As a Data Analyst at Thrill Labs, you will analyze datasets to provide insights, develop dashboards, and collaborate with teams to drive product and operational strategies.

Analyze on-chain trading activity and market/DEX/CEX data at scale, build models for portfolio/PnL and capital efficiency, design AI-driven research pipelines, produce insights to inform product and capital strategy, and collaborate with product and engineering teams.

The Data Scientist (Marketing) role focuses on optimizing marketing budgets, improving data-driven decisions, and analyzing channel performance through various experiments and data studies.

Analyze marketing and product data, build dashboards and visual reports, develop forecasting and predictive models, automate reporting pipelines, document data assets, and present actionable insights to product, marketing, engineering, and finance stakeholders in fintech and crypto transaction environments.

Analyze large datasets, extract and manipulate data using SQL, and create visualizations using Tableau and Power BI to support business decisions.

The Senior Research Data Analyst conducts statistical analyses in health outcomes research, develops analysis plans, and supports study operations, including protocol development and literature reviews.

Design and implement a data governance framework, build automated data quality checks, investigate root causes of data issues, extract and analyze large datasets, and create dashboards and documentation to improve data accuracy and completeness while collaborating with product, engineering, and operations teams.

Analyze and improve multilingual classifiers, partner with linguistics and engineering teams, validate taxonomy translations, and document findings.

As a Data Analyst at Air Apps, you'll analyze data to derive insights, create dashboards, and improve product performance while collaborating with teams.

Support rollout and standardisation of Informatica-based data governance across European business units. Identify and tag key data elements, document lineage, define data quality controls, monitor quality metrics, and collaborate with Group and BU teams to embed data ownership. Analyse data issues, drive corrective actions, maintain Informatica assets, and support adoption of data management capabilities.

The Senior Data Analyst will modernize analytics in Manufacturing Engineering, handling data management and visualization, and developing AI/ML models.

The Data Analyst gathers and cleans data, analyzes large datasets to identify trends, and creates reports to support business objectives.

As a Data Analyst, you will evaluate and optimize gaming brand performance, provide data-driven insights, design dashboards, and collaborate with teams to enhance business strategies.