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# Business Intelligence Consultant

- **Company:** Templeton & Partners
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Business Analytics Applications, Data Analysis, Big Data, Databases, Continuous Integration, Data as a Services, Data Architecture, Data Validation, Data Control, Data Governance, Data Visualization, DevOps, Document-Oriented Databases, Python (Programming Language), NumPy, Power BI, SQL Databases, Tableau (Software), Data Processing, Snowflake, Advanced Reports, Pandas, Data Lakes, Pyspark, Data Analytics, Qlikview, AWS Data Analytics, Data Management, Data Pipelines, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www.buscojobs.com.es/business-intelligence-consultant-en-madrid-ID-366181152

## About the Role

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, NumPy, or PySpark.
Experience with AWS data services (e.g., Athena, Glue, QuickSight, SageMaker).
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, DevOps, or data governance frameworks.
#J-*****-Ljbffr

## Description

We are supporting a leading global financial institution in the search for aBI and Data Analytics Engineerto 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 OverviewYou 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 ResponsibilitiesDesign, 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 & WorkflowImprove 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 SkillsExperience with tools such asPower BI, Tableau, or Qlik.Strong understanding of KPIs, metrics, and data visualization best practices.Data & SQLAdvanced SQL and experience working with large datasets.Strong analytical and problem-solving capabilities.PythonProven experience in data analysis, automation, and validation.Familiarity with libraries such as pandas, NumPy, or PySpark.Experience with AWS data services (e.g., Athena, Glue, QuickSight, SageMaker).Understanding of cloud data architectures and data lakes.Domain KnowledgeExperience in financial services, ideally within markets, FX, trading, or risk.Familiarity with regulated environments and data governance practices.ProfileMid 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 HaveExposure to FX or electronic trading environments.Experience with tools such as Databricks, Snowflake, dbt, or Airflow.Knowledge of CI/CD, DevOps, or data governance frameworks.#J-*****-Ljbffr


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