BI and Data Analytics Engineer

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., * 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.

• 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., * Experience in financial services, ideally within markets, FX, trading, or risk.
• Familiarity with regulated environments and data governance practices., * 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., * 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.

We are supporting a leading global 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.