We are supporting a leading general financial institution in the search for a BI and Data Analytics Engineer to join their Data and BI team within the FX domain.
This is a hybrid role combining business intelligence expertise with hands-on data analytics and cloud-based engineering capabilities. The position offers the opportunity to work in a highly data-driven, regulated environment, contributing to scalable and reliable analytics solutions that support trading and financial decision-making.
Role Overview
You will play a key role in designing and delivering BI and analytics solutions while ensuring strong data quality, governance, and end-to-end data workflow management. This position sits at the intersection of business and technology, requiring close collaboration with stakeholders, product owners, and engineering teams.
Key Responsibilities
- Design, develop, and maintain dashboards, reports, and analytical solutions.
- Translate business requirements into data models and technical solutions.
- Perform advanced data analysis using SQL and Python.
- Implement data quality checks,



reconciliations, and root-cause analysis.
- Automate reporting and validation processes.
- Work with diverse data sources including databases, APIs, and data lakes.
- Support BI integration with AWS-based data platforms.
- Collaborate with data engineers on pipelines, models, and data architecture.
- Document data definitions, workflows, and reporting logic.
- Ensure solutions meet standards for control, auditability, and governance.

Data Quality & Workflow
- Improve and monitor end-to-end data workflows.
- Implement validation rules and data controls.
- Investigate and resolve data quality issues.
- Support data governance, lineage, and ownership practices.
- Promote automation and reduce manual data handling.

Required Skills
- Experience with tools such as Power BI, Tableau, or Qlik.
- Strong understanding of KPIs, metrics, and data visualization best practices.

Data & SQL
- Advance

📌 Business Intelligence Consultant (España)
🏢 Cv-Library
📍 España