Top Data Analyst Jobs in Spain

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

Collect, clean, and transform large datasets; build and maintain data models and reports (using Snowflake and BI tools); perform statistical and machine-learning analyses; define KPIs; ensure data governance and accuracy; present insights to stakeholders; collaborate with data engineers and follow software development best practices.

Lead acquisition-focused measurement and Media Mix Modeling efforts. Design, run, and analyze experiments; build scalable analytics, dashboards, and measurement frameworks; advise marketing stakeholders and senior leadership to drive data-driven acquisition strategy.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

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.

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

Design and maintain FinCrime data models and pipelines, deliver end-to-end analytics solutions, develop detection logic and monitoring rules, ensure data quality and auditability, build Sigma dashboards, collaborate with compliance teams, and automate FinCrime processes.

Partner with business stakeholders to translate requirements into data models, analytical datasets, dashboards, KPIs, and self-service BI. Build and maintain data pipelines in Databricks using SQL and Python, ensure data quality and documentation, integrate local sources, and support Data & AI use case design alongside Data Engineers.

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 Clinical Data Analyst will analyze large datasets, perform statistical analyses, manage data pipelines, and communicate findings with stakeholders.

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.

Provide data-driven compliance insights and reporting to Compliance, ML, and Operations teams. Analyze complex datasets with SQL and Excel, build BI dashboards, handle ad-hoc data requests, and collaborate with Product and Data teams to ensure consistent, accurate compliance data.

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.

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.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

Analyze and model data to support transaction monitoring and FinCrime investigations. Own end-to-end delivery of analytics solutions, build dashboards, ensure data quality and auditability, support regulatory reporting and automate FinCrime processes.

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.

As a Data Analyst, you'll analyze user behavior and product performance, creating reports and dashboards to drive business insights. You'll collaborate with cross-functional teams and utilize SQL, Python, and data visualization tools to enhance user experiences and define key performance indicators.

The Data Analyst will create and maintain data products, improve data storage processes, support advanced analytics, and promote data governance practices.

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 user behavior data, build statistical models, and create recommendation engines to improve user engagement and support various teams.

As a Data Analyst, you will design data models, deliver FinCrime analytics solutions, develop detection logic, perform data quality checks, and build dashboards for regulatory compliance.

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.