Top Data Analyst Jobs in Spain

The Business Analyst will develop and support Big Data solutions by analyzing business needs, defining data logic, and documenting functional specifications. Responsibilities include designing analytical solutions, supporting development teams, and maintaining product documentation.

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.

Lead treasury-focused data modelling, reporting and reconciliations. Build and maintain BI dashboards and AI agentic workflows, collaborate with Treasury, Product and Tech to deliver end-to-end treasury data solutions and support auditors and stakeholders.

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.

Own demand forecasting for Iberia feed plants by analyzing sales, market trends and business inputs. Lead monthly demand planning, align stakeholders (Sales, Marketing, Supply Chain), monitor KPIs (forecast accuracy/bias), balance demand-production-inventory, identify risks/opportunities, and drive continuous improvement in tools and processes.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

The Workday Data Solutions Analyst will manage worker data conversion for the Workday solution, collaborate on projects, and enhance skills in Human Capital Management.

Analyze large-scale user and product data, design and evaluate A/B tests, define and validate product and business metrics, build dashboards and reports, and partner with engineers, data scientists, product, and customers to translate insights into product improvements.

Maintain and validate global customer master data across systems (Salesforce, Jira), perform deduplication and hierarchy management, conduct compliance checks (embargo/VAT screening), monitor CMD dashboards, support cross-functional teams to resolve data anomalies, and drive data integrity projects and process improvements.

Work as the Growth team's embedded senior data analyst to own funnel analysis, design and analyze A/B experiments, define and track business KPIs (ARR, churn, LTV, CAC), build dashboards, optimize BigQuery queries, develop dbt models, and translate insights into product and growth recommendations while mentoring junior analysts.

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.

Manage and analyze large internal and client datasets, build inbound/outbound reports, monitor data quality, identify algorithmic improvements, and communicate insights to team and clients using SQL and BI tools.

Support commercial teams by designing and executing analyses (A/B tests, incrementality), prototyping measurement solutions using AI-assisted tools, translating results into clear recommendations, and collaborating cross-functionally to demonstrate product value.

Lead treasury-focused data modelling, analysis, dashboards and reconciliations. Build and maintain AI agentic workflows and reports, collaborate with Treasury, Product and Engineering, and deliver end-to-end data solutions for liquidity, ALM, and reporting across jurisdictions.

The Director Analyst focuses on data integration and engineering, providing insights, advice, and research to help organizations improve their data practices and strategies.

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

Use SQL and Python to analyse transaction monitoring and fraud rule performance, identify patterns and anomalies, reduce false positives, and prioritise high-risk cases. Partner with FinCrime, Product, Compliance and Data teams to improve controls, data pipelines and detection logic, support scoring and future ML use cases, and translate analysis into actionable recommendations that balance fraud prevention with customer friction.

Partner with Operations and Product to define metrics, design and analyze experiments, build reporting and monitoring (dbt/BI/semantic layers), deliver performance analyses and executive narratives, and support data infrastructure to improve customer experience and bookings confidence.

Lead marketing analytics projects for user acquisition and growth: design experiments, measure ROAS/LTV, partner with UA teams, build dashboards, ensure data quality, present insights to senior stakeholders, and drive analytics best practices.

Partner with FP&A and senior leadership to deliver executive-ready analyses, forecasting models, and driver-based insights. Lead end-to-end analytics initiatives connecting Product, Marketing, and Operations to financial performance, identify growth opportunities and risks, and improve decision-support frameworks toward strategic planning and IPO readiness.

The Data, Automation & BI Analyst will develop dashboards, maintain reporting tools, enhance data quality, automate processes, and implement AI solutions while collaborating across teams to support regional initiatives.

Work on client-facing data science and analytics projects across industries: design analytical solutions, build prototypes and ML models (NLP, GenAI, credit risk), validate toolkits, and communicate results to clients and colleagues. Expect international travel, hands-on coding, and collaboration within multidisciplinary teams.

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.

The role involves analyzing data to provide strategic insights, optimizing campaign performance, conducting market research, and delivering reports to stakeholders.

The Tableau Developer will design, build, and maintain Tableau dashboards, optimizing performance and ensuring data accuracy while collaborating with stakeholders.