Top Data Analyst Jobs in Spain

Support global data team collecting, organizing, and verifying financial data across markets. Assist with acquisition channels, resolve data issues, document client requests, and apply project management practices (LEAN Six Sigma) to improve workflows and meet production deadlines.

Processes and maintains global investment data, ensuring accuracy, completeness, coverage, and timely delivery. Collaborates with global data teams, fund companies, and internal clients; manages data acquisition relationships and issue resolution. Develops analytical tools, improves procedures, documents use cases, and translates client requests into specifications and user stories. The role requires fluent English and French, financial industry knowledge, strong organizational skills, and proficiency in Microsoft Excel.

Lead marketing analytics initiatives, including statistical analysis, campaign optimization, LTV modeling, incrementality analysis, data visualization, and third-party data pipeline development. Partner with marketing and cross-functional teams to identify growth opportunities, deliver actionable insights to senior stakeholders, and prototype AI-driven automation for recurring analytics workflows and improved decision-making.

Analyzes media data and translates findings into product logic, insights, and decisions. Develops budget allocation tools using reach curves and scenario modeling, evaluates product outputs, automates tasks with scripting, and partners with data scientists to validate algorithms and improve product features. Supports global product initiatives across regions and clients while applying media analytics expertise.

Build and maintain clinical site payment forecast models, link forecasts with Medidata Payments, analyze plan-versus-actual variances, reconcile study closeouts, support audits, and produce accurate client-ready financial reports. The role collaborates with clinical operations, revenue recognition, clinical payments, investigator grants payments, and project teams while ensuring compliance with accounting, revenue recognition, and sponsor requirements.

Analyze real-time delivery operations to identify failure drivers and recommend interventions. Build production automations for detection, actions, monitoring, and documentation. Evaluate AI voice and chat agents, design experiments, create reliable LLM workflows, and communicate actionable findings to operational stakeholders across multiple markets.

Analyze campaign and business performance data, develop KPIs and measurement frameworks, produce regular and ad-hoc reports, translate complex datasets into actionable insights, and collaborate with cross-functional teams to improve campaign performance and reporting methodologies.

The Data Analyst will build and maintain dbt models, analyze billing and SaaS metrics, monitor data quality, maintain Metabase reporting, and support acquisition due diligence. The role involves tracing data from source systems through ingestion and transformation, resolving production issues, validating results, and communicating findings to technical and business stakeholders. The analyst will also maintain Airbyte integrations, document data definitions, and use AI tools responsibly in daily data work.

Analyzes and profiles data using SQL and Python, translates business requirements into technical specifications, supports data modeling and governance, and maintains data contracts and documentation. Builds monitoring dashboards in Tableau or Power BI to track quality, adoption, latency, and satisfaction. Manages data product support, incident response, root-cause analysis, validation, change control, and coordination with engineering teams while ensuring pharmaceutical quality and regulatory compliance.

Build end-to-end compliance analytics and data infrastructure for KYC/KYB funnels, remediation campaigns, and financial exposure. Model and transform data with dbt and Omni, create self-service dashboards for product, ops, risk and compliance, and measure campaign impact to drive operational decisions.

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.

Lead global SEM analytics for Rover, guiding bidding and investment decisions through spend allocation, incrementality testing, attribution, experimentation, and customer-value analysis. Diagnose acquisition performance, build trusted dashboards, shape the analytics roadmap, and partner with Finance, Data Science, and Engineering. The role also mentors analysts, reviews analytical work, and translates complex findings into strategic recommendations across brands and markets.

The Data Governance Analyst will manage metadata, data dictionaries, lineage, validation, data quality issues, regulatory data requirements, and AI-readiness initiatives. The role partners with product, technology, compliance, data management, and AI teams to centralize trusted data assets, support external feeds, resolve client data issues, monitor accuracy dashboards, and improve data processes. Candidates should have financial data experience, SQL and data catalog platform expertise, database experience, and strong analytical and communication skills.

Analyze auction-level and campaign data, monitor A/B tests, and identify performance patterns across advertisers and segments. Build scalable dashboards and reporting frameworks using Looker or Tableau, automate analysis with SQL and Python, and translate machine-learning model changes into business impact across CPI, CPA, and ROAS. Partner with Data Science and ML teams to validate results, identify data-quality issues, and provide proactive business recommendations.

Analyze and model supply chain data across ERP and APS systems, manage data quality and governance, support data architecture and integration, and create dashboards that inform transformation projects. Collaborate with business, IT, and client teams to gather requirements, communicate insights, and improve master data practices. The role involves global client projects, workshops, and travel while remaining hands-on with data querying, validation, modeling, and visualization.

Analyze and model Treasury data, build reports, reconciliations, dashboards, and visualizations, and deliver end-to-end data solutions across company jurisdictions. The role partners with Data, Engineering, Product, Treasury, and audit stakeholders to support cash management, ALM, liquidity monitoring, regulatory reporting, financial controls, and Treasury decision-making.

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.

Partner with stakeholders to understand business needs and translate them into data models, dashboards, KPIs, and analytics solutions. Build analytical datasets using Databricks, SQL, and Python; develop BI reports; integrate local data sources; support Data and AI use cases; and ensure data quality and KPI documentation. The role bridges business users and the central Data and AI team while promoting data-driven decision-making and collaborating with Data Engineering.

Perform end-to-end data processing, statistical analysis, visualization, dashboard development, and reporting. Collaborate with business functions to translate data into actionable insights, maintain analytical tools, ensure data quality and governance, and promote data-driven decision-making through coaching and stakeholder communication.

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, deployment, and quality controls. Support regulatory audits by ensuring traceability and auditability, and help automate transaction monitoring, screening, alert handling, and compliance reporting. Collaborate with Compliance, Risk, and Product teams to translate regulatory requirements into data-driven controls.

Lead game analytics partnering with product teams to drive strategy, player and economy insights, design A/B tests, build predictive models (churn, LTV, segmentation), mentor analysts, and improve data tools and experimentation practices.

Develop and maintain business intelligence dashboards and analyses supporting regional decisions across Sales, Operations, Finance, and Supply Chain. Translate business requirements into actionable insights, manage analytics projects, improve data quality, document data models, support BI governance, train users, and identify automation opportunities. The role partners with business and technical stakeholders across multiple countries and platforms.

As a Principal Data Analyst at Zynga, you will shape game strategies, analyze player behavior, design experiments, mentor analysts, and promote data-informed decision-making to enhance player engagement and business growth.

Manage investment fund data quality, regulatory portfolio reporting, and fund categorization initiatives across global markets. Process and validate managed investment data, resolve complex stakeholder queries, identify automation and process improvement opportunities, and create operational requirements for scalable tools. Serve as a subject-matter expert on investment data, coach junior analysts, coordinate training, and ensure accurate, timely data delivery while supporting continuous improvement through Lean Six Sigma and Agile methods.

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.