Top Data Analyst Jobs in Portugal

Analyze large-scale IT infrastructure and asset data, build ETL/ELT pipelines, write advanced SQL, and create Power BI dashboards. Translate stakeholder and client needs into data solutions, maintain data quality and governance, and integrate AI technologies to improve analytical workflows and operational efficiency.

Analyze hotel supply data to support commercial and Cloud teams, evaluate partner and chain performance, identify inventory gaps and data-quality issues, and improve reporting consistency. The role involves clarifying ambiguous requests, delivering end-to-end analyses, building trusted dashboards or data products, and communicating findings to nontechnical stakeholders. Experience with SQL is required, while dbt, data modeling, and marketplace or platform experience are advantageous.

Analyzes underwriting portfolios across Europe, supporting pricing, profitability studies, book optimization, reserving, and management reporting. The role develops dashboards and analytical tools, translates complex data into actionable insights, and collaborates with underwriting teams. It requires strong quantitative, Excel, SQL, and Python skills, with developing knowledge of actuarial methods, statistical models, insurance products, and Power BI.

Analyze and visualize large-scale IT infrastructure and asset data. Build and maintain ETL/ELT pipelines, optimized SQL queries, data models, and Power BI dashboards. Engage customers, business partners, and engineering teams to translate requirements into data solutions. Apply AI technologies to improve workflows and analytics while supporting data quality, governance, transformations, and schema normalization.

Analyze and visualize large-scale IT infrastructure and asset data. Build and maintain ETL/ELT pipelines, optimized SQL queries, data models, and interactive Power BI dashboards. Collaborate with customers, business partners, and engineering teams to define requirements and solve complex data problems. Support data quality, governance, schema normalization, and transformation initiatives while evaluating generative AI and LLM technologies for workflow automation and analytical efficiency.

Analyze and visualize large-scale IT infrastructure and asset data. Build and maintain ETL/ELT pipelines, advanced SQL queries, data models, and Power BI dashboards. Engage customers and internal stakeholders to translate business needs into data solutions, resolve complex analytical challenges, integrate AI tools, and support data governance, transformation, normalization, and quality initiatives.

Analyze and visualize large-scale IT infrastructure and asset data. Build and maintain ETL/ELT pipelines, optimize SQL queries, and create Power BI dashboards for enterprise stakeholders. Partner with customers, business teams, and engineers to translate requirements into data solutions. Apply AI technologies to improve workflows, support data modeling and transformation, and maintain data quality, governance, and integrity across complex datasets.

Monitor and analyze financial data quality across Corporate and Investment Banking activities. The role develops and tests data controls, performs database queries, investigates anomalies and root causes, oversees data acquisition and processing, reports findings, defines remediation actions, updates procedures, and supports automation and data sourcing for accurate financial reporting and regulatory indicators.

Defines and maintains data mapping rules, translates business requirements into technical specifications, performs complex data analysis, assesses data availability across source systems, and collaborates with business and IT teams. Documents findings and communicates results effectively while gathering user requirements and interpreting complex data ecosystems and models.

Build and optimize Power BI data models, dashboards, and reports across cloud and on-premises environments. Integrate multiple data sources, improve query and model performance, test solutions, and collaborate with business stakeholders to translate analytical needs into technical solutions. The role operates in an international, cross-functional team and includes occasional on-call support.

Own analytics for Nuitee’s global travel marketplace, analyzing enterprise partners, self-service API adoption, bookings, product performance, and customer behavior. Build and validate dbt models, data pipelines, experimentation capabilities, and analytical products end to end. Partner with senior Product, Engineering, and commercial leaders to establish trusted metrics, resolve reporting inconsistencies, identify growth opportunities, and influence product and business decisions in a fast-moving startup environment.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

Owns fraud risk performance across payment flows by configuring and optimizing fraud models, rules, thresholds, and decision logic. Analyzes fraud KPIs, conducts root-cause investigations, implements risk controls, and translates risk strategy into mitigation actions. Collaborates with Machine Learning, Product, Compliance, and Operations teams to improve fraud detection precision, manage financial exposure, and meet regulatory expectations.

Analyzes market and business data to deliver statistics, reports, dashboards, bespoke studies, and actionable insights. Partners with stakeholders across Euronext, supports billing processes and controls, improves self-service analytics, automates workflows, and explores AI-powered tools. The role requires working with large datasets, ensuring data quality, and communicating findings to technical and non-technical audiences.

Investigate emerging fraud patterns and modus operandi across merchants by analyzing large-scale transactional data with SQL, R, and Python. Collaborate with Data Science, Product, Engineering, Risk Operations, and Account Management to develop and improve fraud-detection tools. Monitor detection performance, identify gaps and drift, translate findings into actionable insights, and document methodologies. The role supports fraud prevention, detection accuracy, and merchant performance.

Analyze marketing channels, KPIs, attribution, and experiments to improve advertising efficiency and marketing investment decisions. Build dashboards, ETL pipelines, monitoring and alerting systems, and payback prediction models. Generate insights and hypotheses across acquisition, product feeds, creatives, channel mix, and targeting while applying statistical methods and solving complex problems with incomplete data.

Own A/B testing and analysis for Paper.io 2, using large datasets to uncover player behavior and growth opportunities. Translate insights into game design and product roadmap recommendations, optimize monetization and core KPIs, and build dashboards and reports. Collaborate with designers, product managers, and developers in a fast-paced live-ops environment.

Supports the Data RUN team by maintaining data systems, resolving incidents, developing data components, and implementing system improvements. Uses Google Cloud Platform, BigQuery, Composer, Power BI, SSIS, Python, and SQL for data management, integration, reporting, and analysis. Collaborates with business stakeholders to translate requirements into technical solutions and works within Agile delivery practices. French proficiency at B2 level or higher is mandatory.

Analyze and interpret procurement and supply chain datasets, clean and prepare data, build dashboards and reports, and develop automation and digitalization solutions using Skywise and related tools. The role supports KPI standardization, process optimization, data quality, and stakeholder decision-making. It also involves Generative AI applications, collaboration with procurement teams, data governance, and sharing analytics best practices across the organization.

Supports data management and governance activities by applying policies, standards, processes, and controls. Analyzes complex requirements, develops actionable steps, manages multiple deliverables, and prepares reports and presentations for stakeholders. Requires strong organization, communication, problem-solving, Excel, PowerPoint, fluent English, and a relevant bachelor’s degree. Spanish is advantageous.

Analyze FMCG sales, pricing, promotions, customer, product, margin, market share, and competitor data to support revenue growth management. Develop pricing and price elasticity models, identify commercial opportunities, create visualizations and actionable insights, and translate analytical needs into product requirements, user stories, and business rules. Collaborate with stakeholders, product managers, data engineers, developers, and commercial teams to build scalable digital analytics solutions.

Analyze and improve fraud signals and user segmentation for Puzzleplay’s rewards platform. Investigate suspicious and manually reviewed users, monitor segment effectiveness, identify gaps in detection, and recommend verification tools. Collaborate with product and data teams to turn analysis into operational fraud controls across different markets as fraud patterns evolve.

Partner with stakeholders, product, and technology teams to solve complex business problems through data. Develop analytical methodologies, uncover business patterns, improve operational efficiency, and deliver strategic recommendations. Build scalable processes, visualizations, and compelling data-driven narratives for senior executives. Contribute to analytics roadmaps and help the organization become more data-driven.

Own regulatory analytics and reporting by building audit-ready datasets, pipelines, dashboards, compliance metrics, and automated workflows. Analyze complex data, monitor quality, support audits and regulatory exams, and deliver actionable insights to compliance teams and leadership. Translate regulatory requirements into accurate reports using Python, SQL, dbt, and Airflow while partnering cross-functionally to manage data issues and remediation.

Analyzes large-scale IoT and real-time data to uncover customer insights, develop visualization interfaces, and create actionable solutions. The role collaborates with customers, engineers, and product teams; delivers technical presentations; designs analytics architectures; optimizes big data systems; and applies statistical analysis, SQL, Python, and visualization tools to support integrated customer solutions.