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 Advanced SQL and experience working with large datasets. Strong analytical and problem-solving capabilities. Python Proven experience in data analysis, automation, and validation. Familiarity with libraries such as pandas, Num Py, or Py Spark. Experience with AWS data services (e.G., Athena, Glue, Quick Sight, Sage Maker). Understanding of cloud data architectures and data lakes. Domain Knowledge Experience in financial services, ideally within markets, FX, trading, or risk. Familiarity with regulated environments and data governance practices. Profile Mid to senior level professional. Strong technical and analytical mindset. Comfortable working across business and engineering teams. Able to work independently and handle complex data challenges. Detail-oriented with a focus on data quality and control. Nice to Have Exposure to FX or electronic trading environments. Experience with tools such as Databricks, Snowflake, dbt, or Airflow. Knowledge of CI/CD, Dev Ops, or data governance frameworks. #J-18808-Ljbffr

📌 Business Intelligence Consultant (Madrid)
🏢 Templeton & Partners - Innovative & Inclusive Hiring Solutions
📍 Madrid