Top Data Analyst Jobs in Lisbon

Leads research and client advisory on emerging AI data security and AI ecosystem data management trends. Develops research reports, presentations, briefings, and tailored recommendations for technology executives and product leaders. Analyzes technologies, vendors, markets, and competitive landscapes; builds expert networks; delivers client inquiries and speaking engagements; and collaborates with analysts and service teams to ensure high-quality research. The role requires deep cybersecurity and AI data expertise, strong writing and presentation skills, executive presence, and up to 25% travel.

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.

Lead SEA bidding analytics and automation: model elasticity and marginal ROI, design and run experiments, build Python pipelines using Google Ads/SA360 APIs, create BI dashboards, and collaborate with Data Science, Pricing, and Engineering to operationalize AI-driven bidding.

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.

The Tableau Developer will design, build, and maintain Tableau dashboards, optimizing performance and ensuring data accuracy while collaborating with stakeholders.

Support identification, documentation and governance of data assets across domains. Map data entities, document sources, flows and business rules, collaborate with Data Owners/Stewards, identify data quality gaps, maintain documentation, and contribute to data modelling and governance framework improvements.

Design and implement a data governance framework, build automated data quality checks, investigate root causes of data issues, extract and analyze large datasets, and create dashboards and documentation to improve data accuracy and completeness while collaborating with product, engineering, and operations teams.

The Senior Data Analyst will analyze gameplay and advertising data, create Power BI dashboards, perform SQL queries, and design A/B tests while collaborating across teams to provide actionable insights.

Lead data migrations and clean, map, and validate client CSV/Excel files into Cloudbeds. Troubleshoot formatting issues, run post-migration audits, coach clients on building and automating reports, and advise on KPIs to ensure accurate financial and operational insights.