Top Data Analyst Jobs in Barcelona

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.

Own marketing attribution models and incrementality testing across Google Ads and Meta Ads. Design geo tests and conversion lift studies, explain performance changes to stakeholders, build the testing roadmap, and align Growth and Finance on evidence-based budget decisions. Use SQL, BI tools, and AI throughout the analytics workflow.

Supports People Analytics by combining data sources, improving data quality, designing KPIs, maintaining Tableau and HR reports, writing SQL, and automating processes with Python and Google Apps Script. The intern reports on employee performance, engagement, leadership, diversity, and inclusion metrics; communicates insights to nontechnical stakeholders; and supports data-informed People Strategy projects while exploring generative AI opportunities.

Analyze fraud signals and user segments for Puzzleplay’s rewards platform. Investigate suspicious and ambiguous users, refine fraud detection criteria, monitor segment effectiveness, and collaborate with product teams on verification methods and operational fraud controls across markets. Recommend third-party tools and identify signal gaps as fraud patterns evolve.

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.

Analyze production drive-thru voice AI data, build SQL reports and dashboards, monitor KPIs, identify conversation error patterns, and improve NLU models, conversation flows, and LLM behavior through machine learning and rule-based techniques.

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.

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.

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.

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.

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.

Analyzes Growth and marketing performance data, defines metrics and data models, investigates data quality issues, and delivers actionable recommendations. Leads analytical projects from scoping through communication, builds scalable reporting solutions, partners with Data Engineering and Data Science, and supports experimentation and investment decisions. The role also mentors analysts and communicates findings to technical teams, business partners, and senior leadership.

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.

Analyze player behavior and business performance to guide user acquisition, retention, and monetization decisions. Build data models, pipelines, Power BI dashboards, experiments, predictive models, and behavioral segmentation solutions. Collaborate with game teams and senior stakeholders, communicate insights, maintain reliable analytics workflows in GitLab, and explore AI and generative AI applications for reporting and player insights.

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.

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.

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.

Supports technology change initiatives by documenting impacts, coordinating readiness and adoption activities, tracking engagement metrics, creating communications and learning content, managing change champion communities, and maintaining SharePoint and Viva Engage content. The role partners with PMO, project managers, technology leaders, and Corporate Communications to improve adoption of tools, platforms, and services across a global organization.

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.

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 Senior Data Analyst will provide product, operations, and business analytics; analyze internal, market, and customer data; translate findings into actionable insights; improve product features; define data models; ensure data quality; and build dashboards and analytical models using Snowflake, Looker, Amplitude, and related tools. The role also involves A/B testing, causal inference, stakeholder communication, and collaboration with data engineers.

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.