ppWe are supporting a leading integral financial institution in the search for a bBI and Data Analytics Engineer /b to join their Data and BI team within the FX domain. /ppThis 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. /ph3bRole Overview /b /h3pYou 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. /ph3bKey Responsibilities /b /h3ulliDesign, develop, and maintain dashboards, reports, and analytical solutions. /liliTranslate business requirements into data models and technical solutions. /liliPerform advanced data analysis using SQL and Python. /liliImplement data quality checks, reconciliations, and root-cause analysis. /liliAutomate reporting and validation processes. /liliWork with diverse data sources including databases, APIs, and data lakes. /liliSupport BI integration with AWS-based data platforms. /liliCollaborate with data engineers on pipelines, models, and data architecture. /liliDocument data definitions, workflows, and reporting logic. /liliEnsure solutions meet standards for control, auditability, and governance.



/li /ulh3bData Quality Workflow /b /h3ulliImprove and monitor end-to-end data workflows. /liliImplement validation rules and data controls. /liliInvestigate and resolve data quality issues. /liliSupport data governance, lineage, and ownership practices. /liliPromote automation and reduce manual data handling. /li /ulh3bRequired Skills /b /h3ulliExperience with tools such as bPower BI, Tableau, or Qlik /b. /liliStrong understanding of KPIs, metrics, and data visualization best practices. /li /ulh3bData SQL /b /h3ulliAdvanced SQL and experience working with large datasets. /liliStrong analytical and problem-solving capabilities. /li /ulh3bPython /b /h3ulliProven experience in data analysis, automation, and validation. /liliFamiliarity with libraries such as pandas, NumPy, or PySpark. /liliExperience with AWS data services (e.g., Athena, Glue, QuickSight, SageMaker). /liliUnderstanding of cloud data architectures and data lakes. /li /ulh3bDomain Knowledge /b /h3ulliExperience in financial services, ideally within markets, FX, trading, or risk. /liliFamiliarity with regulated environments and data governance practices. /li /ulh3Profile /h3ulliMid to senior level professional. /liliStrong technical and analytical mindset. /liliComfortable working across business and engineering teams. /liliAble to work independently and handle complex data challenges. /liliDetail-oriented with a focus on data quality and control. /li /ulh3Nice to Have /h3ulliExposure to FX or electronic trading environments. /liliExperience with tools such as Databricks, Snowflake, dbt, or Airflow. /liliKnowledge of CI/CD, DevOps, or data governance frameworks. /li /ul /p #J-18808-Ljbffr

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