Top Data Analyst Jobs in Portugal

Collect, clean, and analyze procurement data to drive sourcing strategies, supplier performance, and process improvements. Build and maintain Power BI dashboards and reports, lead data cleansing and classification, support sourcing events (RFx), execute MRP processes in SAP APO/ECC, prepare forecasts, and collaborate with cross-regional procurement and category teams to align POs and resolve supply issues.

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.

Support global procurement by delivering analytics, dashboards, and should-cost models; track savings and value delivery; enable data-driven sourcing strategies and business cases; maintain reporting frameworks; support digital procurement tools and partner with Procurement, Finance, and Supply Chain to drive performance and continuous improvement.

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.

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

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.

The Data Analyst role involves analyzing complex datasets for insights, developing scalable pipelines and reporting solutions, and collaborating across teams to support data-driven decisions.

Analyze and improve multilingual classifiers, partner with linguistics and engineering teams, validate taxonomy translations, and document findings.

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.

Collect, cleanse, combine and analyze data from multiple sources; calculate KPIs and data-quality metrics; build reports and dashboards; perform statistical analysis and develop predictive models to support automation and business insights.

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

Collect, clean, transform, and validate HR data from multiple systems; develop and maintain HR data models and Power BI dashboards; analyze metrics (turnover, satisfaction, absenteeism, demographics) and deliver insights to support HR strategy; collaborate with HR and business leaders and recommend process improvements.

Manage reporting data transformation, automate reporting with Python/SQL/AppScript and AI, maintain master data (cost elements, CPNs, cost centers), deliver monthly P&L and consolidation reporting, coordinate stakeholders, define reporting calendar, and act as focal point for reporting tools and process improvements.

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

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

Analyze headcount and people-related financial data to support forecasting, budgeting, and efficiency initiatives. Build dashboards and reports, automate People processes (including AI-driven solutions), liaise with global stakeholders, and support strategic, cross-functional people projects using Workday and BI tools.

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.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

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.

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

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.

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.