Top Data Analyst Jobs in Portugal

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.

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.

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.

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.

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.

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

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.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

Leads research and client advisory on emerging AI data security and AI ecosystem data management trends. Develops research reports, presentations, briefings, and tailored recommendations for technology executives and product leaders. Analyzes technologies, vendors, markets, and competitive landscapes; builds expert networks; delivers client inquiries and speaking engagements; and collaborates with analysts and service teams to ensure high-quality research. The role requires deep cybersecurity and AI data expertise, strong writing and presentation skills, executive presence, and up to 25% travel.

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.

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.

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.

The Data and Analytics Analyst will create reporting artifacts, support analytics initiatives, and partner with stakeholders to deliver business insights using various data tools and methodologies.

Translate business requirements into data models and technical specs, design and maintain star/snowflake schemas, build and optimize ETL/ELT pipelines (Stambia or equivalent), implement data quality automation, and develop Power BI reports (DAX/Power Query). Act as liaison between business stakeholders and data engineers to ensure data governance and reliable reporting.

Support identification, documentation and governance of data assets across domains. Map data entities, document sources, flows and business rules, collaborate with Data Owners/Stewards, identify data quality gaps, maintain documentation, and contribute to data modelling and governance framework improvements.

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

Lead data migrations and clean, map, and validate client CSV/Excel files into Cloudbeds. Troubleshoot formatting issues, run post-migration audits, coach clients on building and automating reports, and advise on KPIs to ensure accurate financial and operational insights.

The Senior Data Analyst will analyze gameplay and advertising data, create Power BI dashboards, perform SQL queries, and design A/B tests while collaborating across teams to provide actionable insights.

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 large-scale user and product data, design and evaluate A/B tests, define and validate product and business metrics, build dashboards and reports, and partner with engineers, data scientists, product, and customers to translate insights into product improvements.

Partner with HR and IT to design scalable data pipelines and Power BI solutions, monitor workspace health, promote governance and privacy (GDPR, row-level security), map data lineage, maintain the HR data dictionary, and enable users through documentation and training to drive HR analytics adoption.

Serve as a liaison between HR and IT to gather requirements, validate data models in the data lake, assist with Workday integrations, build and maintain Power BI dashboards, support user training and documentation, and uphold data governance, lineage, and privacy standards.

Design and lead user-centred UX for digital supply chain products, turning complex supply chain data into intuitive dashboards, control towers, workflows and visualizations; partner with product, engineering, analytics and business teams; establish UX standards, run usability testing, and drive adoption across global operational teams.

Cross-functional credit risk analyst within Credit Risk Monitoring focused on governance and data quality, regulatory compliance, automation of risk processes, monitoring watchlists and exposures, supporting credit committees, and participating in projects to enhance risk frameworks and controls.