Top Data Analyst Jobs in Spain

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.

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

As a Data Analyst, you'll maintain and improve BI tools, develop Power BI dashboards, analyze data, and communicate insights to support decision-making.

The CRM Analyst analyzes campaign performance, tracks player segments, designs experiments, and validates targeting attributes across various mobile games.

As a Senior Data Analyst, you will lead complex analytical projects, design KPI frameworks, and influence business decisions based on data insights. You’ll collaborate with various teams to enhance operational efficiency and revenue retention through effective analytics and storytelling.

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 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.

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.

Support Glovo's Global Logistics team by querying large datasets, modelling order payment structures, running and analysing experiments, tracking KPIs, and presenting actionable insights to stakeholders. Use SQL, Python/pandas, Excel, and AI-assisted tools to iterate on rider payment models and ensure fairness and operational soundness.

Support EMEA Sales Strategy by analyzing sales and account performance, ensuring data integrity in Salesforce and sales solutions, assisting business planning and pipeline reviews, automating processes, territory sizing, and driving process improvements across channels and countries.

Analyze and optimize financial processes, identify automation opportunities, and develop Power BI dashboards and Excel-based reports. Collaborate with finance teams to translate business needs into data solutions, automate reporting, manage large data volumes, and ensure information quality for decision-making. This is a temporary six-month hybrid position based in Cornellà de Llobregat, Barcelona.

The Strategic Finance Analyst will partner with leadership to drive financial performance, manage budgets, lead financial modeling, and support strategic decision-making in the retail sector.

The Data Analyst will define KPIs, build data models and dashboards, monitor product performance, and provide insights to influence product decisions and growth initiatives.

The Data Analyst will perform strategic data analysis, evaluate secondary data, and create reports for pharmaceutical clients. Fluency in German and knowledge of SAS is required.

Collaborate with clients and consulting teams to solve complex business challenges through quantitative analytics. Responsibilities include designing analytical solutions, developing prototypes, applying machine learning and NLP models, validating GenAI tools, modeling financial risk, optimizing promotions, and assessing solution effectiveness. The role involves communicating sophisticated data science concepts clearly, working across industries and international projects, and continuously expanding technical expertise.

Develop analytical and machine learning solutions for global consulting clients across financial services, energy, retail, transportation, and other industries. Responsibilities include designing solutions, building prototypes, evaluating effectiveness, developing NLP and predictive models, applying advanced analytics, and communicating data science concepts to clients and colleagues. The role offers coaching, international exposure, and hybrid collaboration.

Partner with founders and cross-functional teams to analyze financial and operational data, build executive dashboards, create P&L and margin analyses, forecast and model unit economics, identify cost leaks, reconcile transactions, and present recommendations to improve profitability, cash flow, and business performance.

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.

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.

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.

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.