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.

Analyze data to provide insights for marketing strategies, develop metrics and dashboards, and conduct experiments for business improvement.

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.

Lead marketing analytics projects: design and deliver UA performance measurement, LTV/ROAS analysis, experiment design, and attribution frameworks. Partner with UA/marketing to optimize budgets, maintain data quality, create dashboards, and present insights to senior stakeholders. Drive team best practices and tooling improvements.

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.

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.

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.

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.

Develop and implement a data governance framework, build automated data quality checks, analyze large datasets with SQL/Python, create dashboards and reports, investigate root causes of data issues, and collaborate with product, engineering, and operations while maintaining documentation.

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.

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.

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 Senior Development Engineer/Mathematician/Data Analyst will develop algorithms, create statistical models, and implement biometric methods to enhance diagnostic accuracy and support product approvals.

Partner with Product and Engineering to define metrics, run root-cause analyses and experiments, build tracking, reporting, and automated alerts, model data in dbt/BigQuery, scale AI-assisted analytics for self-serve, and communicate insights to drive product and business decisions.

The role involves querying large datasets using SQL and PySpark, analyzing user behavior, creating reports, and maintaining data processes.