Top Data Analyst Jobs in Lisbon

Leads ad hoc and exploratory analyses for medical and business questions across a global Medical Insights organization. Prepares and validates datasets, translates ambiguous stakeholder needs into decision-ready findings, and maintains analytical documentation. Tests new data sources, methods, and AI-enabled approaches through proof-of-concept analyses to guide platform investments and roadmap decisions. Partners with business and product stakeholders while supporting compliant, reproducible use of regulated data.

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.

Maintain and administer Workday and other HRIS platforms, ensuring data integrity and process quality. Build and maintain complex Workday reports, deliver metrics and analytical insights, investigate data discrepancies, support system upgrades and implementations, and perform functional testing. Translate business requirements into solutions, manage data updates and integrations, coordinate with stakeholders, provide training, and respond to reporting and system-related inquiries.

Bridges business requirements and data engineering by translating needs into technical specifications, designing analytical data models, governing data quality, developing ETL/ELT pipelines, and creating Power BI dashboards. The role requires advanced SQL, data warehouse expertise, ETL tooling experience, cloud knowledge, scripting, and fluency in French and English, with responsibility for delivering projects from requirements gathering through implementation.

Analyze revenue and profit trends across e-commerce markets, build automated anomaly detection and early-warning systems, conduct root-cause and causal inference analyses, evaluate pricing and category initiatives, and quantify revenue drivers. The role uses SQL, Python, statistics, econometrics, forecasting, regression, and segmentation to produce actionable insights. Responsibilities also include data storytelling, cross-functional collaboration, leadership presentations, and developing automated analytical workflows.

Owns finance reporting digitalization, master data maintenance, monthly program and function reporting, and divisional consolidation. The role extracts, validates, compiles, and delivers financial data, manages mappings and access rights, coordinates reporting calendars and stakeholders, and serves as a focal point for reporting improvements and new tools. It partners with controllers, accounting, consolidation, and financial systems teams while supporting automation through coding, AI, and analytics platforms.

Analyze advertising channel performance, marketing KPIs, attribution, and ROI; build dashboards, ETL pipelines, alerts, and prediction models; monitor statistical anomalies; design data studies and experiments; and generate insights to improve acquisition, product feeds, creatives, channel allocation, and marketing investment decisions.

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

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 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.

Own CRM analytics and reporting across 45+ markets, building Power BI dashboards and automated reporting solutions. Analyze campaign performance, customer behavior, lifecycle KPIs, segmentation, personalization, and A/B tests. Partner with CRM, data, product, engineering, and marketing teams to improve data quality and deliver actionable recommendations to senior stakeholders.

Support marketing and growth teams by analyzing campaign, channel, and customer data. Build and maintain performance reports and dashboards, answer well-scoped stakeholder questions, contribute to marketing analytics workstreams, and communicate actionable insights. The role emphasizes developing skills in SQL, Python, data visualization, business intelligence, and marketing analytics while validating data quality and escalating ambiguities or blockers.

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.

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.

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.

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.

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.

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 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.

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.