Top Data Analyst Jobs in Barcelona

Leads research and advisory work for CIOs on data, analytics, and AI strategy, governance, operating models, architecture, value realization, and emerging technologies. Develops thought leadership, market analysis, presentations, and actionable client guidance; evaluates agentic and composite AI, modern data platforms, AI-ready data, organizational maturity, and capability-building needs. Represents Gartner at client meetings and conferences, supports sales, mentors colleagues, and shapes research agendas.

Own end-to-end product and marketing analytics for subscription products and web funnels. Define KPIs, build trusted dashboards and reusable SQL data models, analyze funnels, cohorts, retention, LTV, churn, and user behavior, and identify optimization opportunities. Maintain event tracking and taxonomy, monitor anomalies, communicate insights to stakeholders, and mentor junior and mid-level analysts. Collaborate cross-functionally with Product, Marketing, Data Engineering, and BI teams to support experimentation and data-driven decisions.

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.

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

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.

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.

Analyze and optimize financial processes, identify automation opportunities, and develop Power BI dashboards and Excel-based reports. Collaborate with finance teams to translate business needs into data solutions, automate reporting, manage large data volumes, and ensure information quality for decision-making. This is a temporary six-month hybrid position based in Cornellà de Llobregat, Barcelona.

The Strategic Finance Analyst will partner with leadership to drive financial performance, manage budgets, lead financial modeling, and support strategic decision-making in the retail sector.

Early-career Data Analyst responsible for designing and owning core metrics and dashboards, analyzing transaction/customer/credit data to inform credit, fraud, AML, portfolio and growth decisions, building data pipelines and automations with SQL and Python, partnering with cross-functional teams, and owning compliance reporting. Emphasis on turning ambiguous problems into reliable analytical systems and applying GenAI/LLMs for practical automation.

Senior individual contributor responsible for end-to-end ecommerce and consumer analytics: defining and governing metrics, building production dashboards and dbt pipelines, writing complex SQL in BigQuery, conducting cohort/funnel/CLV analyses, supporting experimentation, mentoring junior analysts, and driving global-regional analytics governance and data quality improvements.

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.

The Senior Data Analyst will implement a data governance framework, establish data quality processes, develop automated checks, and create dashboards while collaborating with cross-functional teams.

Partner with founders and cross-functional teams to analyze financial and operational data, build executive dashboards, create P&L and margin analyses, forecast and model unit economics, identify cost leaks, reconcile transactions, and present recommendations to improve profitability, cash flow, and business performance.

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.

Build, monitor, and troubleshoot data pipelines and storage on Azure (Data Factory, Data Lake). Support data scientists, implement ELT and data governance, ensure data quality, and document workflows while collaborating with stakeholders.

Analyze large data sets to influence product strategies, develop dashboards, and support cross-functional teams in decision making.