Top Data Analyst Jobs in Lisbon

Designs and maintains scalable ETL/ELT pipelines and batch or real-time data processing solutions using SQL, Python, and Spark. Ensures data quality, reliability, monitoring, and observability across enterprise data platforms. Supports CI/CD, DataOps, platform upgrades, migrations, and production operations while collaborating with engineers, analysts, scientists, and business stakeholders. Creates technical documentation and participates in design and code reviews.

Analyze publishing and content acquisition data to support digital product decisions. Design business metrics, build analytics products and dashboards, conduct quantitative research, maintain ETL pipelines and data models, and communicate insights to technical and non-technical stakeholders. The role also promotes data literacy and data-driven decision-making across the organization.

Analyze SEA performance data, model bidding and ROI strategies, design experiments, and automate campaign optimization using Python and Google Ads or SA360 APIs. Build dashboards and pipelines that improve spend efficiency, incrementality, and bidding decisions. Partner with Data Science, Pricing, and Platform Engineering to operationalize algorithmic bidding, translate technical findings into recommendations, and mentor colleagues on hypothesis-driven analysis and AI-assisted workflows.

Supports People Analytics by building HR dashboards, auditing and cleaning Workday and SAP data, producing ad hoc analyses, and automating reporting with Excel, Power Query, SQL, and Python. The role provides HRBP reporting support, promotes self-service analytics through training, and translates workforce data into actionable insights while maintaining confidentiality and GDPR compliance.

Analyze payments data, integrate complex data sources, maintain performance reports, monitor KPIs, and identify opportunities to optimize payment routing and reduce failures and costs. The role collaborates with Payment Operations, Product, Finance, Customer Support, analysts, and engineers to ensure data quality and deliver actionable insights through ad hoc analysis, dashboards, and automated reporting.

Defines and maintains data mapping rules, translates business requirements into technical specifications, performs complex data analysis, assesses data availability across source systems, and collaborates with business and IT teams. Documents findings and communicates results effectively while gathering user requirements and interpreting complex data ecosystems and models.

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.

Build and optimize Power BI data models, dashboards, and reports across cloud and on-premises environments. Integrate multiple data sources, improve query and model performance, test solutions, and collaborate with business stakeholders to translate analytical needs into technical solutions. The role operates in an international, cross-functional team and includes occasional on-call support.

The Senior Data Analyst will support a strategic Group Data initiative by designing dimensional data models, source-to-target mappings, data contracts, reconciliation checks, and documentation. The role gathers European requirements, aligns backlogs and priorities, defines user stories and acceptance criteria, and supports testing, issue resolution, and adoption. It collaborates with data engineers, Power BI developers, product managers, and business stakeholders to deliver consistent reporting and analytical products across business units.

Develop and maintain Python- and SQL-based analytical models, ETL processes, dashboards, reports, and data visualizations. Analyze complex datasets, monitor data quality and governance, track business KPIs, and provide strategic recommendations. Lead analytical studies, support process optimization and Lean initiatives, and collaborate with business and technology stakeholders to improve operational efficiency and decision-making.

Analyzes and manages data solutions using GCP, BigQuery, Composer, Power BI, Python, SQL, and SSIS. Responsibilities include maintaining data systems, resolving incidents, developing data components, supporting reporting and visualization, translating business requirements into technical solutions, and collaborating with BPCE-SI stakeholders in an Agile environment.

Analyze hotel supply data to support commercial and Cloud teams, evaluate partner and chain performance, identify inventory gaps and data-quality issues, and improve reporting consistency. The role involves clarifying ambiguous requests, delivering end-to-end analyses, building trusted dashboards or data products, and communicating findings to nontechnical stakeholders. Experience with SQL is required, while dbt, data modeling, and marketplace or platform experience are advantageous.

Analyze marketing channels, KPIs, attribution, and experiments to improve advertising efficiency and marketing investment decisions. Build dashboards, ETL pipelines, monitoring and alerting systems, and payback prediction models. Generate insights and hypotheses across acquisition, product feeds, creatives, channel mix, and targeting while applying statistical methods and solving complex problems with incomplete data.

Own analytics for Nuitee’s global travel marketplace, analyzing enterprise partners, self-service API adoption, bookings, product performance, and customer behavior. Build and validate dbt models, data pipelines, experimentation capabilities, and analytical products end to end. Partner with senior Product, Engineering, and commercial leaders to establish trusted metrics, resolve reporting inconsistencies, identify growth opportunities, and influence product and business decisions in a fast-moving startup environment.

Leads discovery, scoping, requirements, backlog ownership, Agile delivery, and stakeholder alignment for data transformation products. Defines data products, scope, data contracts, mappings, quality rules, metrics, and acceptance criteria while facilitating ceremonies, managing dependencies, tracking delivery health, and supporting account growth. Requires senior consulting experience, strong SQL and data analytics expertise, modern data platform knowledge, and client-facing facilitation skills.

Owns end-to-end product and commercial analytics for an AI cloud platform, including metric definition, customer health, capacity forecasting, utilization, pricing, packaging, segmentation, and monetization. Analyzes large-scale customer and usage datasets, builds production-ready data solutions, and delivers recommendations across Product, Engineering, Finance, Sales, and Operations. The role requires strong Python, SQL, statistics, commercial judgment, and familiarity with consumption-based technical products.

Design and deliver dashboards and reports, implement data visualization strategies, enforce data governance and data quality (profiling, alerts), connect data sources (Microsoft Fabric, Dynamics, cloud platforms), support business teams in Purview and Data Quality, and provide onboarding and training.

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.

Analyze credit and fraud risk across BNPL products, monitor portfolio performance and risk indicators, optimize approval and loss-reduction strategies, support risk model and policy launches, and present insights to leadership. The role partners with data, product, finance, and commercial teams across multiple markets while improving risk reporting and operational automation.

Analyze FMCG sales, pricing, promotions, customer, product, margin, market share, and competitor data to support revenue growth management. Develop pricing and price elasticity models, identify commercial opportunities, create visualizations and actionable insights, and translate analytical needs into product requirements, user stories, and business rules. Collaborate with stakeholders, product managers, data engineers, developers, and commercial teams to build scalable digital analytics solutions.

Analyze and improve fraud signals and user segmentation for Puzzleplay’s rewards platform. Investigate suspicious and manually reviewed users, monitor segment effectiveness, identify gaps in detection, and recommend verification tools. Collaborate with product and data teams to turn analysis into operational fraud controls across different markets as fraud patterns evolve.

Own regulatory analytics and reporting by building audit-ready datasets, pipelines, dashboards, compliance metrics, and automated workflows. Analyze complex data, monitor quality, support audits and regulatory exams, and deliver actionable insights to compliance teams and leadership. Translate regulatory requirements into accurate reports using Python, SQL, dbt, and Airflow while partnering cross-functionally to manage data issues and remediation.

Analyzes large-scale IoT and real-time data to uncover customer insights, develop visualization interfaces, and create actionable solutions. The role collaborates with customers, engineers, and product teams; delivers technical presentations; designs analytics architectures; optimizes big data systems; and applies statistical analysis, SQL, Python, and visualization tools to support integrated customer solutions.

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.

Senior Data Analyst responsible for gathering business requirements, analyzing trends and metrics, creating scalable dashboards, supporting forecasting and A/B testing, and delivering data-driven insights. The role partners with product, business, and data engineering teams to build reliable data sources, identify growth opportunities, and improve customer, sales, and profitability outcomes.