Top Data Analyst Jobs in Barcelona

Leads marketing analytics initiatives, including statistical modeling, campaign optimization, LTV and incrementality analysis, data pipeline development, visualization, and AI-driven workflow automation. Partners with marketing and cross-functional teams to identify growth opportunities, conduct analytical deep dives, and communicate actionable insights to senior stakeholders. The role requires translating ambiguous business questions into data-driven recommendations and helping shape the technical direction of analytics efforts.

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.

The Senior Data Analyst will lead analytics solutions, develop statistical frameworks, build data pipelines, and collaborate with marketing teams to improve performance and efficiency.

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.

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 complex marketing and user-acquisition analyses: decompose problems, measure ROAS/LTV, design experiments, ensure data quality, build dashboards, and present insights to senior stakeholders to optimize marketing spend.

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.

The Staff Data Analyst will define data strategies for product domains, conduct deep analyses on user behavior, and mentor other analysts. This role involves optimizing metrics and frameworks for impactful decision-making.

Analyze product, sales, pricing, customer, and usage data to build reports and dashboards (primarily Power BI). Consolidate multiple data sources, run SQL queries, create DAX/Power Query models, identify trends, deliver insights to stakeholders, and manage analytics projects end-to-end supporting marketing and business teams.

Analyze product, sales, pricing, customer, and usage data to build reports and dashboards (primarily Power BI). Collect and consolidate data from multiple sources, identify trends, generate insights, and support cross-functional stakeholders. Own end-to-end analytics projects, present findings to management, and improve KPIs like upsell and churn.

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.

Own marketing analytics: monitor campaign performance, maintain dashboards and pipelines, define and track KPIs (CAC, LTV, ROAS), analyze lifecycle and campaign data, and present insights to marketing leadership to inform strategy.

Lead marketing analytics initiatives, including statistical analysis, predictive modeling, campaign optimization, LTV modeling, incrementality analysis, data pipeline development, visualization, and analytical tooling. Partner with marketing and cross-functional teams to identify growth opportunities, communicate insights to senior stakeholders, and prototype AI-driven automation. Translate ambiguous business questions into actionable recommendations and help shape the technical direction of analytics efforts.

Lead complex marketing and UA analytics: decompose projects, measure ROAS/LTV/payback, design and analyze experiments, build dashboards, ensure marketing data quality, and deliver strategic insights to optimize multi-million dollar acquisition budgets.

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.

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.

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.

Analyze and optimize SEA performance for the Spanish market using a data-driven, ROI-focused approach. Monitor and test campaigns, bidding strategies, and landing page tracking; run deep-dive analyses, identify growth opportunities, and provide actionable recommendations to increase qualified leads and improve profitability.