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.

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.

Collect, analyze, and interpret large datasets; develop reports and dashboards; support decision-making through analytics, automation, and BI solutions; improve operational efficiency and user experience; communicate insights to stakeholders.

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 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.

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.

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

Analyze large datasets to identify trends and improve user engagement, customer experience and sales. Build dashboards and datasets to support product decisions, track software usage, collaborate with product managers and engineers globally, and improve data architecture and event tracking for frontend and backend.

Design, build, and maintain data pipelines, ETL, and warehousing for Global Markets front office. Develop dashboards and analytical tools (Tableau/Power BI), ensure data quality, collaborate with traders and sales, and evolve analytics tech including Python, SQL, APIs and AI chatbot solutions.

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.

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.

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

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.

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.

Partner with Product and Engineering to define metrics, run root-cause analyses and experiments, build tracking, reporting, and automated alerts, model data in dbt/BigQuery, scale AI-assisted analytics for self-serve, and communicate insights to drive product and business decisions.

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.

The Senior Data Analyst will lead A/B testing for Paper.io 2, analyze complex datasets, provide actionable insights, and collaborate with teams to optimize game 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.