Top Data Analyst Jobs in Portugal

The Senior Analyst will perform data analysis on large data sets, provide insights and recommendations, build reporting solutions, and support new product development across product organizations.

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 internet performance data for government customers: lead cross-functional analytical projects, develop pipelines and dashboards, collaborate with data scientists, produce defensible regulatory reports, apply statistical judgment, and surface insights for government stakeholders.

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.

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.

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.

Analyze large product and usage datasets, build dashboards and datasets, track software usage and event tracking quality, collaborate with global product and engineering teams, surface insights to optimize features and improve customer and branch user experience.

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

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.

Designs, implements and tests data warehouse solutions, performs technical analyses, documents technical designs, supports UAT and quality testing, liaises with business stakeholders, proposes platform improvements, and reports to the Data Hub Chapter.

Collect, clean, and organize data from multiple sources; build scalable Power BI dashboards; perform basic statistical analysis; reverse-engineer existing data structures and reports; collaborate with cross-functional teams to meet data needs.

Analyze commercial and analytical data, gather business requirements, design data models, develop dashboards and reports, and support Data Warehouse/Datahub enhancements to inform business decisions.

Lead end-to-end dashboard projects for cybersecurity risk management: gather requirements, ETL and model data, build and maintain Power BI/Tableau/Dataiku dashboards, apply statistical and basic ML techniques, present insights to stakeholders, monitor data quality, and collaborate across teams to improve reporting.

Design, build, and optimize robust, high-volume data pipelines and data warehouse solutions. Apply Data Vault 2.0 and Kimball methodologies, develop in Python and SQL, use Git, and follow CI/CD best practices to deliver performant data workflows and insights.

Collect, clean, analyze, and interpret data; build and maintain Airflow data pipelines; optimize code and queries; generate insights and visualizations; liaise with users to assess requirements and business impact.

Analyze and prepare complex datasets, design statistical analyses, and build reports/dashboards (Tableau/Power BI). Develop automated tools, contribute to ETL pipelines and data warehousing, translate business needs into technical specs, and communicate results to technical and non-technical stakeholders while collaborating with traders, sales, and development teams.

Analyze mobile games data to track performance, design and execute A/B tests, report on user engagement, and recommend optimizations.

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

Transform data from internal databases, external APIs, and surveys into insights. Analyze trends, build dashboards/reports, ensure data quality, partner with stakeholders, and mentor colleagues to support business decisions.

The Data Analyst for Quality Procurement will lead data consolidation, analysis, and reporting for procurement processes while collaborating with global teams to improve quality performance indicators.

Translate business needs into technical BI requirements, build and optimize SQL queries, create Power BI dashboards, perform root-cause data analysis, ensure data quality with engineers, and present insights and recommendations to stakeholders throughout BI project lifecycles.

Collect and translate business requirements into technical BI solutions; build and optimize SQL queries; design Power BI dashboards; ensure data quality with Data Engineers; perform root-cause analyses and present actionable insights to stakeholders throughout BI project lifecycles.

The Data Analyst will translate business needs into technical requirements, develop and optimize SQL queries, build dashboards in Power BI, ensure data quality, and communicate insights to stakeholders.

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.

The GCP/Power BI Data Analyst will manage incidents, develop data components, optimize data with GCP and Power BI, and collaborate with business units.