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Data Analyst, Spanish Speaker
futureproof consulting. Transform data into reliable business intelligence for the Spanish organization .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Analytics and Business Intelligence, with a strong focus on advanced SQL, Power BI, and data integration. Capable of translating complex data into actionable insights while ensuring compliance with data governance and quality standards.
Highest-signal resume keywords
Advanced SQLPower BIData IntegrationData Quality ImprovementFluent Spanish
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsBusiness IntelligenceStatistical AnalysisData ReconciliationData TransformationData ValidationAnalytical Data ModellingKPI ManagementTrend AnalysisAnomaly Detection
Soft Skills
CommunicationCollaborationOwnershipAgile PlanningProblem-Solving
Tools & Technologies
Power BIQlik SenseMetabasePythonRClickHouseMicrosoft Azure
Industry Keywords
FintechPaymentsRetailData GovernanceData QualityMetadataData LineageTransaction-Intensive Environments
Tech Stack
Tools & technologiesAzureCloudPythonSQL
About the role
Key responsibilities & impact- Transform data into reliable business intelligence for the Spanish organization
- Support operational performance, financial control, customer and merchant insights, and evidence-based decision-making
- Partner with Business, Finance, Operations, Product, Technology, Data Engineering, and Data Governance teams
- Consolidate information from multiple platforms and define trusted KPIs
- Investigate discrepancies across transaction, payment, ordering, billing, invoicing, and financial-control processes
- Deliver recurring and ad-hoc analysis supporting operational decisions, growth initiatives, service quality, and management reporting
- Communicate findings, assumptions, limitations, and recommended actions to technical and non-technical stakeholders
- Analyze and reconcile data from multiple systems, databases, files, and external partners
- Design and maintain unified analytical datasets and repeatable controls
- Collaborate with Data Engineering and source-system owners to define transformation rules, resolve data defects, and improve data availability
- Develop, maintain, and optimize dashboards primarily using Power BI and, where relevant, Qlik Sense, Metabase, or comparable BI tools
- Use advanced SQL to query, transform, validate, and analyze large datasets
- Apply Python and/or R for statistical analysis, automation, or repeatable analytical processing
- Create visualizations and data stories that make complex findings understandable and actionable
- Apply trend analysis, segmentation, forecasting, regression, control sampling, and anomaly detection
- 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 handling complies with security, privacy, access-control, retention, and regulatory requirements
- Contribute to data integration, platform migration, and reporting-modernization initiatives
- Ensure continuity of KPIs, reporting, and controls during system or platform transitions
- Maintain 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
What you’ll need- Minimum 3 years of experience in 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
- Advanced SQL, including complex queries, data transformation, data validation, performance awareness, and database optimization
- Strong hands-on experience with Power BI
- Knowledge of Qlik Sense, Metabase, or comparable visualization platforms is advantageous
- Working knowledge of Python and/or R for data analysis, automation, and statistical modelling
- Understanding of analytical data modelling concepts including star schemas, slowly changing dimensions, and dashboard-ready semantic models
- Knowledge of Data Governance, Data Quality, metadata, data lineage, and KPI-management practices
- Experience with ClickHouse is a plus
- Understanding of hybrid or cloud data architectures, ideally within the Microsoft Azure ecosystem, is advantageous
- Bachelor's or Master's degree in Statistics, Applied Mathematics, Data Science, Economics, Engineering, Computer Science, or another relevant quantitative discipline
- Fluent Spanish — required
- Professional English — required
- Ability to use AI-enabled analytical tools responsibly to support analysis and automation
Benefits
Comp & perks- Remote work
- B2B Contract
- Collaboration with international teams and stakeholders across different time zones
- Based in EU