Data Analyst (Spanish Speaker)

This is a remote position.The Data Analyst plays a critical role in transforming data into reliable business intelligence for the Spanish organization.The role supports operational performance, financial control, customer and merchant insights, and evidence-based decision-making across a transaction-intensive business environment.You will partner with Business, Finance, Operations, Product, Technology, Data Engineering, and Data Governance teams to consolidate information from multiple platforms, define trusted KPIs, investigate discrepancies, and provide a consistent view of customers, transactions, billing, and operational processes.The position also contributes to ongoing data transformation initiatives while ensuring strong standards around data governance, quality, security, and documentation.Key ResponsibilitiesBusiness Partnership & Decision Support Collect, challenge, and translate business needs into clear analytical questions, metrics, dashboards, and data products. Partner with business and functional teams to understand performance drivers and provide insight-led recommendations. Deliver recurring and ad-hoc analysis supporting operational decisions, growth initiatives, service quality, and management reporting. Clearly communicate findings, assumptions, limitations, and recommended actions to both technical and non-technical stakeholders. Data Analysis, Integration & Reconciliation Analyze and reconcile data from multiple systems, databases, files, and external partners. Identify gaps and inconsistencies between different data sources. Investigate discrepancies and perform root-cause analysis, particularly across transaction, payment, ordering, billing, invoicing, and financial-control processes. Design and maintain unified analytical datasets and repeatable controls providing a reliable and traceable view of business activity. Collaborate with Data Engineering and source-system owners to define transformation rules, resolve data defects, and improve data availability. Analytics, Business Intelligence & Reporting Develop, maintain, and optimize operational and management dashboards, primarily usingPower BIand, where relevant,Qlik Sense, Metabase, or comparable BI tools. Useadvanced SQLto query, transform, validate, and analyze large datasets. ApplyPython and/or Rfor statistical analysis, automation, or repeatable analytical processing. Create meaningful visualizations and data stories that make complex findings understandable and actionable. Apply analytical and statistical techniques including: Trend analysis Segmentation Forecasting Regression Control sampling Anomaly detection KPI Definition, Data Governance & Quality Define and document business metrics and KPIs, including calculation rules, ownership, source systems, refresh frequency, and quality thresholds. Contribute to data glossary, metadata, data lineage, and master-data initiatives. Establish and monitor data-quality controls covering completeness, accuracy, consistency, timeliness, uniqueness, and traceability. Ensure data is handled in accordance with security, privacy, access-control, retention, and regulatory requirements. Collaboration & Delivery Work closely with local and international stakeholders across Data Engineering, Architecture, Security, Data Governance, Finance, Operations, Product, and Technology. Contribute to data integration, platform migration, and reporting-modernization initiatives. Ensure continuity of KPIs, reporting, and controls during system or platform transitions. Maintain clear documentation for datasets, dashboards, analytical models, business rules, and controls. Manage priorities transparently and contribute to agile planning and delivery processes. Take ownership of agreed analytical outcomes. Requirements Minimum3 years of experiencein Data Analytics, Business Intelligence, or a comparable analytical role. Demonstrated experience working with multiple data sources and translating business questions into robust analytical and reporting solutions. Experience with data integration, migration, reconciliation, or data-quality improvement initiatives is highly valued. Experience within multinational, digital, fintech, payments, retail, employee-benefits, or other transaction-intensive environments is advantageous. Technical Skills Advanced SQL, including: Complex queries Data transformation Data validation Performance awareness Database optimization Strong hands-on experience withPower BI. Knowledge ofQlik Sense, Metabase, or comparable visualization platforms is advantageous. Working knowledge ofPython and/or Rfor data analysis, automation, and statistical modelling. Understanding of analytical data modelling concepts including: Star schemas Slowly changing dimensions Dashboard-ready semantic models Knowledge ofData Governance, Data Quality, metadata, data lineage, and KPI-management practices. Experience withClickHouseis a plus. Understanding of hybrid or cloud data architectures, ideall