Top Data Analyst Jobs in Spain

Collect, maintain, and analyze Morningstar investment data across global markets. Support data accuracy, completeness, coverage, and production deadlines; collaborate with research analysts, fund companies, and third-party providers; assist with analytical tools, project teams, issue resolution, meetings, and daily team activities.

Processes and validates managed investment data across global markets using Morningstar systems. Ensures data quality, completeness, accuracy, and timely delivery; collaborates with global teams, fund providers, and internal clients; resolves data issues; documents requirements and user stories; improves procedures and analytical tools; and supports process improvement initiatives using Lean Six Sigma methods.

Leads investment data initiatives, ensuring accuracy, completeness, timeliness, and quality. Manages data providers, acquisition channels, escalations, and complex data issues. Acts as a fund data expert, improves processes using Lean Six Sigma, manages high-volume workflows, and translates client needs into product specifications and user stories. Requires fluent Thai and English, financial data expertise, Excel proficiency, data quality knowledge, and project management skills.

Analyze player behavior and business performance to support user acquisition, retention, and monetization decisions. Build data models, pipelines, Power BI dashboards, and reports; conduct A/B test analysis; and develop machine learning solutions for segmentation and monetization. Communicate insights to stakeholders, maintain analytics quality through GitLab and CI/CD practices, and explore AI and generative AI applications for analytics automation.

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.

Analyze large-scale security telemetry, threat intelligence, endpoint, and detection data to identify trends, anomalies, and emerging threats. Build dashboards, reports, data pipelines, and KPI frameworks using SQL, Python, LogScale, or similar tools. Collaborate with data engineering, product, and engineering teams to ensure data quality and translate complex findings into actionable insights for technical and non-technical stakeholders.

Analyze and structure quality KPIs and data models, compare field and customer issues with laboratory validation coverage, identify improvement opportunities, and prototype automation or AI solutions for reporting and quality insights. The intern will use Excel, Power BI, Python, and SQL for data processing, visualization, dashboard development, and predictive analytics within HP’s product quality organization.

Collects, maintains, and validates portfolio data across global markets, ensuring accuracy, completeness, coverage, and timely delivery. Collaborates with global data teams, fund companies, clients, and third-party providers. Improves procedures through analytical tools, automation, Lean Six Sigma, and process-improvement projects. Provides expertise on investment data calculations, supports portfolio template testing, handles data transfer agreements, and monitors relevant financial regulations.

Analyze marketing spend, attribution, and performance data to identify growth opportunities and guide channel decisions. Own analytical projects from scoping through impact measurement, using SQL, Tableau, and AI tools to build reliable analyses and visualizations. Partner with marketing leaders across affiliates, influencers, PPC, SEO, and product marketing, while collaborating with the Data Platform team to improve data availability and scalable workflows.

Own marketing analytics, funnel reporting, dashboards, attribution, cohort analysis, and conversion rate optimization. Analyze customer journeys from acquisition through retention, identify funnel losses, and design and evaluate A/B and multivariate experiments across landing pages, signup, onboarding, and email. Partner with marketing, product, engineering, RevOps, sales, and leadership to improve measurement, define trusted metrics, and translate findings into prioritized growth recommendations.

Analyze large commerce and consumer datasets to identify performance trends, market dynamics, competitive insights, and growth opportunities. Build scalable market analyses for commercial and marketing teams, automate reporting, and translate findings into actionable recommendations for senior stakeholders. The role requires SQL, Python, visualization, statistical modeling, presentation, and strong communication skills.

Build and improve Enfuce’s people-data foundation by cleaning, structuring, connecting, and governing data across systems. Develop trusted BI reporting, analyze engagement, retention, workforce efficiency, and headcount trends, and provide actionable recommendations. Define success measures and evaluate people initiatives. Partner with the People, Data & AI, Finance, and People Product teams to support AI-powered automations and products using reliable data.

Analyze and model supply chain data across ERP and APS environments, ensuring data quality and supporting master data governance. Build dashboards, data models, integrations, and reporting solutions while contributing to data architecture, migration, and warehousing initiatives. Collaborate with client business and IT teams, facilitate requirements workshops, communicate insights, and support global supply chain transformation projects. The role is hybrid in Barcelona with international client travel.

Build and maintain financial crime data models, datasets, detection logic, monitoring rules, dashboards, and analytical tools. Deliver end-to-end FinCrime analytics solutions, including data extraction, transformation, validation, and deployment. Perform data quality controls, support audits, and automate compliance processes involving transaction monitoring, screening, alert handling, and KYC data. Translate regulatory requirements into data logic while collaborating with Compliance, Risk, and Product teams.

The Data Analyst will model data and manage regulatory reporting processes, including requirements gathering, validation, compliant file delivery, and process automation. The role involves building dashboards and visualizations in Looker and Looker Studio, collaborating with Data, Finance, Compliance, and Regulatory Reporting teams, and ensuring accurate, traceable, timely submissions to regulators and auditors. The position requires advanced SQL, Python, modern data-stack experience, and familiarity with regulatory or financial reporting.

Build datasets and knowledge assets for AI agents, clean and document data, analyze business workflows, design prompts, configure agents, define guardrails, create test cases, evaluate accuracy, and improve agent performance through feedback. Collaborate with business and technical teams while learning AI workflow automation and agent development.

Support Glovo's Global Logistics team by querying large datasets, modelling order payment structures, running and analysing experiments, tracking KPIs, and presenting actionable insights to stakeholders. Use SQL, Python/pandas, Excel, and AI-assisted tools to iterate on rider payment models and ensure fairness and operational soundness.

Processes and validates managed investment data across global markets, ensuring accuracy, completeness, and timely delivery. Collaborates with global teams, fund companies, and internal clients; manages data issues, acquisition channels, specifications, and user stories. The role also improves procedures, develops analytical tools, documents use cases, and supports process improvement initiatives using Lean Six Sigma methodologies.

Analyze operational data across Customer Care, Seller Care, Quality, and Shipping to improve efficiency and customer satisfaction. Maintain monitoring tools, develop actionable recommendations, collaborate with stakeholders, and communicate insights to nontechnical audiences. The internship is full-time for six months starting January 2027 in Barcelona, with hybrid work.

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.

Contribute to the Tech team by analyzing data to inform product roadmap and prioritization, interact with clients and internal teams to understand needs, make data-driven decisions, and lead development ownership of impactful features.

Manage credit strategy for a large European consumer portfolio, making and monitoring credit decisions, limits, thresholds, and rules. Analyze merchants, customers, countries, profitability, and loss patterns; build portfolio monitoring and documentation; and collaborate with Data Science, Data Engineering, Commercial, Account Management, and Fraud teams. Translate analyses into production changes and own end-to-end risk projects.

Senior Data Research Analyst responsible for ensuring high-quality, timely investment data across global markets. Collaborate with global and local teams, manage data acquisition and provider relationships, improve processes and tools, track data quality metrics, translate client requests into specifications, and support cross-functional projects using Excel, SQL and automation.

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.

Owns and expands security exposure dashboards and reports covering penetration testing, infrastructure vulnerabilities, and configuration compliance. Defines, documents, versions, and validates exposure metrics and composite scores, including per-service risk scoring. Builds scalable data searches, transformations, coverage checks, and automated reporting for supervisory requests. Partners with delivery and governance stakeholders to establish new measures and drive adoption of standardized, reproducible security reporting.