Top Data Analyst Jobs in Portugal

Work with enterprise customers to analyze live ecommerce data, research fraud trends, build end-to-end technical solutions, and deliver actionable insights using R, SQL, and Python. Collaborate cross-functionally and present findings to technical and non-technical stakeholders.

Analyzes product and user behavior data to identify trends, improve engagement, customer experience, and sales performance. Builds dashboards and analytical datasets, monitors software usage across global branches, and collaborates with product managers, engineers, and analysts to optimize processes and features. Also supports data architecture improvements and ensures high-quality frontend and backend event tracking.

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

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

Gather, clean, and maintain data from databases, spreadsheets and APIs. Analyze large datasets with statistical methods to find trends and correlations. Build reports and dashboards (Power BI/Tableau/Excel), monitor KPIs, and present actionable insights to stakeholders. Collaborate with cross-functional teams and data engineers to improve data processes and drive business decisions. Must be French speaker (C1) and submit CV in English.

Analyze pharmaceutical manufacturing and quality data to produce actionable insights, business cases, and investigation support. Build and maintain Power BI dashboards, data models, DAX measures, governance standards, and certified datasets. Automate reporting and refresh processes, improve performance, standardize KPIs across global sites, and ensure data integrity, access control, and traceability in a regulated environment.

Analyze data using Python and SQL databases while working in Agile environments with CI/CD tools. The role involves collaborating with dynamic technology teams across hybrid and remote projects in Portugal, communicating effectively in English, and participating in a supportive professional development community.

Analyze business requirements and data across European analytics platforms, validate data quality, support data mapping and modeling, and develop Power BI dashboards. Translate business needs into technical solutions while collaborating with data engineers and stakeholders across Sales, Underwriting, Finance, and other functions. The role also supports platform improvement, ad hoc analysis, reporting accuracy, and alignment with Hiscox’s data strategy.

Build and maintain R&D KPIs, datasets, metrics, and reporting that support company decisions. Partner with product, engineering, UX, Data Platform, and business teams to define measurable outcomes, improve data quality, document metric definitions, and create reusable data products. Use SQL and systems thinking to trace data from source systems through reporting, recommend actions, and demonstrate business impact across R&D, Customer Success, Sales, Support, and Finance.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

The role involves gathering and analyzing data requirements, designing data models, implementing data transformations, and developing dashboards using AWS QuickSight, while ensuring data quality and compliance.

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.

Build and maintain KPI reporting across markets, develop predictive models and AI tools, analyze large operational datasets, translate insights for stakeholders, collaborate on data integration and definitions, and support migration of data sources to improve field operations.

Early-career Data Analyst responsible for designing and owning core metrics and dashboards, analyzing transaction/customer/credit data to inform credit, fraud, AML, portfolio and growth decisions, building data pipelines and automations with SQL and Python, partnering with cross-functional teams, and owning compliance reporting. Emphasis on turning ambiguous problems into reliable analytical systems and applying GenAI/LLMs for practical automation.

Analyze and instrument offsite discovery and SEO/GEO performance for ecommerce sites. Build integrations, ETL pipelines, and models to track organic and AI-driven traffic. Create tooling and frameworks for technical site audits, landing page modelling, SEO experiments, and enablement for product and customer teams.

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

Deliver and maintain HR reports and dashboards, ensure data quality, develop visualizations, support HRBPs, train users on self-service reporting, migrate SAP BI reports to Workday, enforce GDPR data protection, and liaise daily with central Airbus stakeholders.

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.

Develop and maintain costing reference standards; collect and curate global costing data; define hourly rates and escalation rules; build analytical models to extract trends; ensure compliance with internal storage guidelines; communicate with costing community and contribute structured inputs to the Costing Data Hub and Data Lake for automation and continuous improvement.

Analyze data to identify patterns and trends, monitor operational data, develop SQL queries, and create reports for business decisions.

Partner with commercial or functional teams to clean, validate and analyse data from ERP and business systems, produce Power BI dashboards and reports, monitor KPIs, support planning cycles and projects, provide stakeholder training, and drive data governance and continuous improvement to enable data-driven decisions.

Partner with functional teams to clean, validate and analyze operational and commercial data (ERP, CRM, procurement systems). Build and maintain Power BI dashboards and reports, produce monthly management information, support planning cycles and projects, enable self‑service reporting, and drive continuous improvement, data governance, and stakeholder training across a matrix organisation.

Provide financial analysis, KPI monitoring, and monthly management reporting. Maintain and validate finance data, build and improve Power BI dashboards, support planning/forecasting and capex submissions, partner with stakeholders across a matrix organization, and contribute to process improvements, data governance, and functional projects.

Build and maintain Looker/BigQuery dashboards, perform deep-dive analyses on CX and operations metrics (NPS, contact rates, agent performance), quantify business cases for improvements, develop automations and tools, ensure data governance with Data Engineering, and present actionable insights to non-technical stakeholders.