Top Data Analyst Jobs in Spain

Support global data team collecting, organizing, and verifying financial data across markets. Assist with acquisition channels, resolve data issues, document client requests, and apply project management practices (LEAN Six Sigma) to improve workflows and meet production deadlines.

Entry-level internship to develop expertise in Morningstar data and products, support data processes, ensure data accuracy and deadlines, assist analysts, and participate in training and projects to build skills for future roles.

Lead game analytics partnering with product teams to drive strategy, player and economy insights, design A/B tests, build predictive models (churn, LTV, segmentation), mentor analysts, and improve data tools and experimentation practices.

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.

Support EMEA data team in collecting, maintaining, and validating investment data. Ensure data quality, coverage, and timeliness; assist meeting production deadlines; analyze data points; support project teams and process improvements; liaise with fund companies and third-party providers; organize team activities and use LEAN Six Sigma methodologies for issue resolution.

Twelve-month internship supporting collection, verification, and delivery of financial data across global markets. Work with global data teams and fund companies to resolve data issues, set up acquisition channels, document client requests, and apply project management practices to improve workflows and data quality.

Join the global data team to collect, validate, and maintain investment data (Morningstar). Manage provider relationships, meet production deadlines, resolve data tickets, document processes, and drive process improvements using project management methodologies to ensure high data quality and client-focused delivery.

Work with global data and local business teams to acquire, validate, and maintain investment and Morningstar data. Manage provider relationships, meet production deadlines, resolve data tickets, improve procedures and analytical tools, and translate client needs into specifications and user stories using project management methodologies.

Collect, validate, and maintain global investment data (Morningstar), manage fund-provider relationships, resolve data issues, improve processes and tools, and translate client requests into specifications while meeting production deadlines.

Lead data initiatives to improve accuracy, timeliness, and coverage of investment data. Act as an expert on fund structures and methodologies, manage provider relationships and data acquisition, implement LEAN Six Sigma process improvements, ensure high data quality, handle high data volumes against strict deadlines, collaborate cross-functionally to resolve complex issues, and translate client requests into specifications and user stories.

Support global data and local teams to collect, validate and maintain financial and Morningstar data. Manage provider relationships, meet production deadlines, improve processes and tools, resolve data issues, translate client requests into specifications, and apply project management methodologies to ensure data accuracy and coverage.

Lead data coverage, quality, and timeliness for investment data across global markets. Manage provider relationships, resolve complex data issues, improve processes and tools, translate client requests into specifications, and collaborate with global teams to meet production deadlines.

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.

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.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

Design and maintain treasury data models, reports, reconciliations and dashboards. Collaborate with Treasury, Product and Data teams to deliver end-to-end analytics, support auditors, monitor cash, ALM and liquidity, and automate routine data operations.

Analyze product, sales, pricing, customer, and usage data to build reports and dashboards (primarily Power BI). Consolidate multiple data sources, run SQL queries, create DAX/Power Query models, identify trends, deliver insights to stakeholders, and manage analytics projects end-to-end supporting marketing and business teams.

Analyze product, sales, pricing, customer, and usage data to build reports and dashboards (primarily Power BI). Collect and consolidate data from multiple sources, identify trends, generate insights, and support cross-functional stakeholders. Own end-to-end analytics projects, present findings to management, and improve KPIs like upsell and churn.

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.

Lead complex marketing and user-acquisition analyses: decompose problems, measure ROAS/LTV, design experiments, ensure data quality, build dashboards, and present insights to senior stakeholders to optimize marketing spend.

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.

Analyze and optimize SEA performance for the Spanish market using a data-driven, ROI-focused approach. Monitor and test campaigns, bidding strategies, and landing page tracking; run deep-dive analyses, identify growth opportunities, and provide actionable recommendations to increase qualified leads and improve profitability.

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.

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.

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