Top Data Analyst Jobs in Barcelona

The Data Analyst will analyze data from multiple sources to generate business insights and support strategic decision-making. Responsibilities include developing metrics, dashboards, experiments, analyses, data frameworks, and behavioral insights in collaboration with analysts, engineers, and data scientists. The role requires strong SQL expertise, statistical analysis using Python or R, Looker experience, data storytelling, and stakeholder management skills.

Analyze large-scale security telemetry, threat intelligence, endpoint, and detection data to identify trends, anomalies, and emerging threats. Build dashboards, reports, data pipelines, and KPI frameworks using SQL, Python, LogScale, or similar tools. Collaborate with data engineering, product, and engineering teams to ensure data quality and translate complex findings into actionable insights for technical and non-technical stakeholders.

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.

Manage credit strategy for a large European consumer portfolio, making and monitoring credit decisions, limits, thresholds, and rules. Analyze merchants, customers, countries, profitability, and loss patterns; build portfolio monitoring and documentation; and collaborate with Data Science, Data Engineering, Commercial, Account Management, and Fraud teams. Translate analyses into production changes and own end-to-end risk projects.

Analyze revenue, pricing, advertising, and monetization performance for Glovo’s commercial teams. Build KPI frameworks, data models, dashboards, forecasts, and variance analyses; identify growth and profitability opportunities; and translate ambiguous business questions into actionable insights. The role partners with product, sales, commercial, local, and technical stakeholders, progressively owning analytical initiatives from problem definition through delivery and impact measurement.

Own global courier fraud analytics, including detection rules, heuristic scoring, anomaly flags, dashboards, and AI/ML deployment. Analyze fraud patterns such as account sharing, GPS spoofing, cancellation abuse, and payment manipulation. Partner with Data Engineering, Data Science, Operations, Legal, and local markets to productionize solutions, monitor trends, quantify financial impact, and drive effective countermeasures.

Analyze investment product and business performance using SQL, Python or R, experimentation, causal inference, dashboards, and forecasting. Partner with product, engineering, design, and research teams to evaluate initiatives, identify customer and business opportunities, improve data platforms and tracking, and communicate actionable insights. The role also promotes data literacy through training and workshops.

Own A/B testing and analysis for Paper.io 2, using large datasets to uncover player behavior and growth opportunities. Translate insights into game design and product roadmap recommendations, optimize monetization and core KPIs, and build dashboards and reports. Collaborate with designers, product managers, and developers in a fast-paced live-ops environment.

Own analytics for Nuitee’s global travel marketplace, analyzing enterprise partners, self-service API adoption, bookings, product performance, and customer behavior. Build and validate dbt models, data pipelines, experimentation capabilities, and analytical products end to end. Partner with senior Product, Engineering, and commercial leaders to establish trusted metrics, resolve reporting inconsistencies, identify growth opportunities, and influence product and business decisions in a fast-moving startup environment.

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.

Analyze user behavior, product funnels, experiments, and monetization across subscription-based mobile apps. Own product metrics including activation, retention, conversion, LTV, and CAC; build dashboards and reports; identify opportunities and root causes; and translate data into recommendations for product roadmaps. Collaborate with product, engineering, design, marketing, and founders while supporting new app launches and using AI tools to accelerate analysis.

Analyzes courier acquisition funnels across paid, referral, SEO, and organic channels in more than 20 countries. Tracks referral quality and fraud, supports campaign and creative management on Meta, Google Ads, and TikTok, and provides optimization feedback. Uses SQL and Python to query data and automate reports, while building spreadsheets and Looker dashboards to visualize the acquisition funnel from initial engagement through first order.

Analyze payments data, integrate complex data sources, maintain performance reports, monitor KPIs, and identify opportunities to optimize payment routing and reduce failures and costs. The role collaborates with Payment Operations, Product, Finance, Customer Support, analysts, and engineers to ensure data quality and deliver actionable insights through ad hoc analysis, dashboards, and automated reporting.

Lead predictive audience modeling and advertising measurement for Connected TV. Analyze campaign exposure, reach, frequency, attribution, incrementality, conversion, engagement, retention, and re-engagement. Build scalable visualizations and reporting, establish rigorous measurement methodologies, validate and monitor models, and present commercially relevant insights to clients, partners, and internal stakeholders. Collaborate with Data Engineering, Product, Commercial, and Advertising teams while applying statistical and machine learning expertise to behavioral and advertising datasets.

Supports People Analytics by combining data sources, improving data quality, designing KPIs, maintaining Tableau and HR reports, writing SQL, and automating processes with Python and Google Apps Script. The intern reports on employee performance, engagement, leadership, diversity, and inclusion metrics; communicates insights to nontechnical stakeholders; and supports data-informed People Strategy projects while exploring generative AI opportunities.

Analyze fraud signals and user segments for Puzzleplay’s rewards platform. Investigate suspicious and ambiguous users, refine fraud detection criteria, monitor segment effectiveness, and collaborate with product teams on verification methods and operational fraud controls across markets. Recommend third-party tools and identify signal gaps as fraud patterns evolve.

Analyze player behavior and business performance across user acquisition, retention, and monetization. Build reliable data models, pipelines, Power BI dashboards, and reports using modern data tools. Support A/B testing, predictive analytics, behavioral segmentation, machine learning, and Generative AI initiatives. Communicate actionable insights to stakeholders, maintain analytical code in GitLab, troubleshoot data issues, and promote best practices across the organization.

Lead analytics for subscription products and web funnels, partnering with Product, Marketing, and Data teams to improve conversion, retention, and LTV. Build trusted dashboards, SQL data models, event tracking structures, funnel and cohort analyses, and A/B testing insights. Monitor metrics, identify anomalies, communicate recommendations, and mentor junior and mid-level analysts while maintaining reliable reporting and data foundations.

Lead marketing analytics initiatives, including statistical analysis, campaign optimization, LTV modeling, incrementality analysis, data visualization, and third-party data pipeline development. Partner with marketing and cross-functional teams to identify growth opportunities, deliver actionable insights to senior stakeholders, and prototype AI-driven automation for recurring analytics workflows and improved decision-making.

Build and maintain reliable datasets, data models, SQL transformations, and analytical assets. Translate business requirements into documented data solutions, validate outputs, and collaborate with stakeholders, product managers, and data teams. The role involves using AI tools responsibly, contributing to data best practices, and developing toward autonomous ownership of data products.

Analyze FMCG sales, pricing, promotions, customer, product, margin, market share, and competitor data to support revenue growth management. Develop pricing and price elasticity models, identify commercial opportunities, create visualizations and actionable insights, and translate analytical needs into product requirements, user stories, and business rules. Collaborate with stakeholders, product managers, data engineers, developers, and commercial teams to build scalable digital analytics solutions.

Lead analytical initiatives supporting Product, Data, and Business teams. Translate business and product questions into data requirements, measurement strategies, KPIs, dashboards, A/B tests, impact analyses, and actionable narratives. Track product performance, present insights to stakeholders, and coach analysts while enabling data-driven decisions across a global organization.

Lead global SEM analytics for Rover, guiding bidding and investment decisions through spend allocation, incrementality testing, attribution, experimentation, and customer-value analysis. Diagnose acquisition performance, build trusted dashboards, shape the analytics roadmap, and partner with Finance, Data Science, and Engineering. The role also mentors analysts, reviews analytical work, and translates complex findings into strategic recommendations across brands and markets.

Analyze and improve fraud signals and user segmentation for Puzzleplay’s rewards platform. Investigate suspicious and manually reviewed users, monitor segment effectiveness, identify gaps in detection, and recommend verification tools. Collaborate with product and data teams to turn analysis into operational fraud controls across different markets as fraud patterns evolve.

Analyzes Growth and marketing performance data, defines metrics and data models, investigates data quality issues, and delivers actionable recommendations. Leads analytical projects from scoping through communication, builds scalable reporting solutions, partners with Data Engineering and Data Science, and supports experimentation and investment decisions. The role also mentors analysts and communicates findings to technical teams, business partners, and senior leadership.