Top Data Analyst Jobs in Barcelona

Lead marketing analytics projects: design and deliver UA performance measurement, LTV/ROAS analysis, experiment design, and attribution frameworks. Partner with UA/marketing to optimize budgets, maintain data quality, create dashboards, and present insights to senior stakeholders. Drive team best practices and tooling improvements.

Analyze data to provide insights for marketing strategies, develop metrics and dashboards, and conduct experiments for business improvement.

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 and improve reporting systems, create dashboards and visualizations, translate cross-functional travel-business data into actionable insights, define KPIs with stakeholders, and contribute to data modeling and a single source of truth.

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.

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

Analyze and optimize user journeys, conduct funnel analysis, define customer metrics, design A/B tests, and communicate insights to stakeholders.

Design and optimize courier payment structures using data modelling and analysis. Run experiments (A/B, switchback), monitor KPIs, derive insights from large datasets, and implement changes to improve rider engagement and operational efficiency while addressing local needs.

Partner with the CEO to ideate, validate, and launch mobile apps using a data-first approach. Define KPIs, build dashboards, analyze user behavior and A/B tests, drive product experiments for activation, retention, monetization, and collaborate with engineering, design, and marketing to ship and iterate quickly.

As a Data Analyst at Joko, you will analyze data for trends, build predictive models, create dashboards, and support stakeholders in decision-making.

Lead marketing analytics projects for user acquisition and growth: design experiments, measure ROAS/LTV, build dashboards, ensure data quality, and deliver insights to optimize multi-million dollar marketing budgets.

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.

Develop and implement a data governance framework, build automated data quality checks, analyze large datasets with SQL/Python, create dashboards and reports, investigate root causes of data issues, and collaborate with product, engineering, and operations while maintaining documentation.

Analyze mobile games data to track performance, design and execute A/B tests, report on user engagement, and recommend optimizations.

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 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.

Design, build, and maintain Power BI dashboards and Microsoft Fabric data pipelines. Integrate Dynamics 365 data, ensure data quality and governance, deliver executive insights, forecasting, and strategic analysis. Partner with sales, operations, and finance leaders to translate requirements, promote self-service analytics, and document KPIs and reporting logic.

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 product analytics to generate insights, design and analyze A/B tests, build scalable SQL data models and dashboards, ensure data quality, and advise product and business stakeholders to drive growth.

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.

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.

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.