About the role
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 Responsibilities
Business 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.
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.
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
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.
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.
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
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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, ideally within theMicrosoft Azure ecosystem, is advantageous.
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, ideally within theMicrosoft Azure ecosystem, is advantageous.
Education
Bachelor's or Master's degree in Statistics, Applied Mathematics, Data Science, Economics, Engineering, Computer Science, or another relevant quantitative discipline.
Languages
Fluent Spanish – required
Professional English – required
French, Portuguese, or additional European languages are an advantage.
Fluent Spanish – required
Professional English – required
French, Portuguese, or additional European languages are an advantage.
Key Competencies
Strong data analysis and reconciliation skills
Business Intelligence and data visualization
Statistical and analytical modelling
Business process understanding and KPI design
Data governance and data quality
Data integration and source-to-target mapping
Root-cause analysis and problem solving
Strong analytical thinking and curiosity
Accountability and ownership
Attention to detail
Strong stakeholder collaboration
Ability to explain complex data topics in clear business language
Adaptability and continuous learning
Ability to use AI-enabled analytical tools responsibly to support analysis and automation
Strong data analysis and reconciliation skills
Business Intelligence and data visualization
Statistical and analytical modelling
Business process understanding and KPI design
Data governance and data quality
Data integration and source-to-target mapping
Root-cause analysis and problem solving
Strong analytical thinking and curiosity
Accountability and ownership
Attention to detail
Strong stakeholder collaboration
Ability to explain complex data topics in clear business language
Adaptability and continuous learning
Ability to use AI-enabled analytical tools responsibly to support analysis and automation
Benefits
Based inEU
Remote
Collaboration with international teams and stakeholders across different time zones
B2B Contract
Originally posted on Himalayas