Top Data Analyst Jobs in Seville

Analyze and instrument offsite discovery and SEO/GEO performance for ecommerce sites. Build integrations, ETL pipelines, and models to track organic and AI-driven traffic. Create tooling and frameworks for technical site audits, landing page modelling, SEO experiments, and enablement for product and customer teams.

Design and maintain dashboards and real-time operational views for Customer Success and Support; produce executive reports on trends, churn, and ROI; implement AI-driven analytics (anomaly detection, predictive churn, sentiment analysis); ensure data accuracy and pipeline integrations with CRM/support tools; perform deep-dive analyses and present recommendations to global stakeholders.

Support global procurement by delivering analytics, dashboards, and should-cost models; track savings and value delivery; enable data-driven sourcing strategies and business cases; maintain reporting frameworks; support digital procurement tools and partner with Procurement, Finance, and Supply Chain to drive performance and continuous improvement.

The role involves analyzing datasets, building reports, supporting business units with BI tools, and translating business requirements into data solutions.

Analyze and improve multilingual classifiers, partner with linguistics and engineering teams, validate taxonomy translations, and document findings.

The Data Analyst at Gamesight will leverage data to optimize creator partnerships and inform marketing strategies for game launches while collaborating with various teams to enhance campaign effectiveness.

The Payments Data Analyst will translate complex payments data into actionable insights, collaborating with stakeholders to improve data quality, develop reports, and manage data pipelines, ultimately driving decisions for Everfield's Payments Business Intelligence strategy.

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

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

The Senior People Data Analyst will develop People Analytics capabilities, unify data sources, provide actionable insights, and enhance data literacy across the organization.

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.

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.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

Lead and improve LCA database content and models, develop Data-on-Demand datasets, support customers on MLC database topics, triage JIRA issues, and promote AI/tool use to optimize data management.

The Senior Data Analyst will analyze data, improve product features, develop monitoring tools, ensure data quality, and translate insights into actionable steps.

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.

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

The Senior Data Analyst (CX) will analyze customer experience data, optimize workflows, and collaborate with teams to improve customer support through insights and reporting.

Manage the operational lifecycle of the Flight Plan for e-commerce clients ensuring proper setup, maintenance, and actionable insights from the infrastructure.

As a Senior Data Analyst, you will analyze data, create reports, manage data pipelines, and provide insights to influence product decisions. You will collaborate with various teams and perform A/B testing.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

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