Top Data Analyst Jobs in Barcelona

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.

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.

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 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.

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.

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.

Lead marketing analytics initiatives, including statistical evaluation of campaign performance, predictive modeling, LTV and incrementality analysis, data pipeline development, and interactive visualization. Partner with marketing and cross-functional teams to identify growth opportunities, communicate actionable insights to senior stakeholders, and prototype AI-driven automation for recurring analytics workflows.

Leads a team of 3–5 data analysts, prioritizes analytical work, and analyzes large real-time bidding datasets to identify market trends and revenue opportunities. Builds self-service BI and automated reporting frameworks, establishes data quality and documentation standards, and partners with Product, Data Science, and Engineering to guide product decisions.

Own and improve end-to-end reporting pipelines, ensure data quality and scalable automated reporting, partner with stakeholders and engineering to translate business needs into dashboards and analyses, and explore AI-enabled automation for insights generation.

As a Fraud Data Analyst, you will architect real-time defense strategies against payment fraud, develop precision rules, optimize decisioning stacks, and report performance metrics to senior leadership while ensuring a frictionless user experience.

Build production-grade finance data products: design dbt models on Redshift, create Metabase self-service dashboards, validate reconciliations and provisioning, partner with Finance to ensure auditable, single-source-of-truth metrics, and drive data governance and quality improvements.

The Principal Game Data Analyst will shape game strategies through data-driven insights, mentor analysts, and improve analytics standards while collaborating with teams on player behavior and product performance analysis.

The Principal Data Analyst will drive data-driven strategies for games, analyze player behavior and product performance, lead A/B testing, mentor analysts, and improve data culture across the company.

As a Data Analyst, you'll maintain and improve BI tools, develop Power BI dashboards, analyze data, and communicate insights to support decision-making.

Analyze product data to identify opportunities, validate hypotheses, evaluate A/B tests, and measure feature performance. Partner with product managers, designers, developers, researchers, and data engineers throughout the product lifecycle. Own analyses from ideation through communication, create dashboards and insights, maintain data processes, and provide actionable recommendations that support product prioritization and data-driven decisions.

The Senior Development Engineer/Mathematician/Data Analyst will develop algorithms, create statistical models, and implement biometric methods to enhance diagnostic accuracy and support product approvals.

The CRM Analyst analyzes campaign performance, tracks player segments, designs experiments, and validates targeting attributes across various mobile games.

Partner with operational squads to run deep analyses, build dashboards and monitoring, automate ETL/data processes, query the data lake, and present actionable insights to influence business decisions.

As a Senior Data Analyst, you will lead complex analytical projects, design KPI frameworks, and influence business decisions based on data insights. You’ll collaborate with various teams to enhance operational efficiency and revenue retention through effective analytics and storytelling.

Leads regional adoption of customer experience and omnichannel strategies across pharmaceutical markets. Supports local brand and medical teams in developing personalized customer journeys, governs Salesforce Marketing Cloud vendors and platforms, and partners with IT on requirements and roadmaps. Designs and deploys agentic AI workflows using Microsoft Copilot Studio, ensuring human oversight, consent, privacy, and promotional compliance. Drives training, change management, governance, stakeholder alignment, and performance measurement across global, regional, and local teams.

Lead analytics for Pocket Champs: define KPIs, own A/B testing, translate business questions into data models, surface product insights, set analytical standards, and mentor analysts while coordinating with Data Core and cross-functional teams.

Lead growth analytics by building and maintaining Marketing Mix Models, architecting scalable growth data models, measuring campaign performance and incrementality, enabling AI-driven analytics automation, designing CRM and lifecycle measurement, and delivering executive-ready insights while setting data governance and modelling standards across the Growth organisation.

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.

Support EMEA Sales Strategy by analyzing sales and account performance, ensuring data integrity in Salesforce and sales solutions, assisting business planning and pipeline reviews, automating processes, territory sizing, and driving process improvements across channels and countries.

Partner with game teams to shape product and monetization strategy using player and product analytics. Design experiments, build predictive models (churn, LTV, segmentation), mentor analysts, present insights to leadership, and improve data tools and pipelines to drive data-informed decisions.