Top Data Analyst Jobs in Portugal

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.

Own GTM and sales analytics across pipeline performance, forecasting, funnel conversion, win/loss analysis, lead and account scoring, territory planning, quota modeling, and capacity planning. Partner with RevOps, Sales, Product, Finance, and Analytics Engineering to improve metric definitions, Salesforce and product data models, dashboards, and decision-making. Translate complex analysis into clear recommendations for GTM leadership.

Analyzes complex and raw data from multiple sources, identifies trends and patterns, evaluates business needs, and develops analytical tools, pipelines, algorithms, and prototypes. The role prepares data for predictive and prescriptive modeling, improves data quality, supports data architects, and collaborates with data scientists to deliver actionable insights.

Design and build robust, performant data pipelines capable of handling large data volumes. Apply Data Vault 2.0 and Kimball data warehouse concepts, develop using Python and SQL, manage code with Git, and understand CI/CD principles. The role is hybrid, with 50% onsite work in Parque das Nações, Lisbon.

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.

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.

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.

The Senior Data Analyst will provide product, operations, and business analytics; analyze internal, market, and customer data; translate findings into actionable insights; improve product features; define data models; ensure data quality; and build dashboards and analytical models using Snowflake, Looker, Amplitude, and related tools. The role also involves A/B testing, causal inference, stakeholder communication, and collaboration with data engineers.

Build, analyze, and optimize hospitality reports; troubleshoot reporting discrepancies; interpret metrics such as ADR, RevPAR, occupancy, and channel performance; and coach customers through reporting concepts. The role supports Cloudbeds customers through calls and email, translates technical information into clear guidance, collaborates with Product, Onboarding, Support, and Customer Success, and applies data mapping, parsing, spreadsheet analysis, and root-cause investigation.

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 data using Python and SQL databases while working in Agile environments with CI/CD tools. The role involves collaborating with dynamic technology teams across hybrid and remote projects in Portugal, communicating effectively in English, and participating in a supportive professional development community.

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.

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.

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.

Analyze NATO Data and AI workforce requirements, map roles and competencies to SFIA and existing education and training solutions, identify performance gaps, review strategic training plans, and conduct Training Requirements Analysis. Produce TRA, situation, and program-of-work reports; support NATO planning events; and translate emerging Data and AI trends into workforce and training implications.

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.

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.

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.

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.

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.