Senior Data Analyst

Data Analyst

Dubai

September 18, 2026

Application ends: December 17, 2026

Job Description

REQUIREMENTS

3–5+ years of experience in Data Analytics, Reporting Analytics or similar data-focused roles.
Mandatory experience working within FX, CFD, brokerage, trading, or financial markets environments.
Working proficiency in Python for data processing, analysis, automation, and reconciliation tasks.
Good SQL skills and experience working with complex datasets.
Experience developing, maintaining, and enhancing production reporting and analytical solutions.
Understanding of how reporting workflows interact across data ingestion, transformation, storage, and consumption layers.
Strong attention to detail and a methodical approach to data validation and quality assurance.
Ability to investigate and reconstruct complex sequences of business and system events.
Strong communication and problem-solving skills.
Preferred
Experience with MetaQuotes MT4 and MT5 databases and trading data structures.
Experience with PySpark and large-scale data processing.
Familiarity with AWS Glue and the AWS Data Catalog ecosystem.
Familiarity with Amazon Athena.
Exposure to AWS Lambda, Step Functions, or EventBridge.
Understanding of dealing operations, liquidity management, risk management, P&L reporting, or related brokerage workflows.
Knowledge of AI and machine learning concepts, with the ability to introduce and integrate AI-based approaches into client profiling, reporting, and day-to-day analytical tasks.
Hands-on experience applying AI tools (e.g., LLMs, machine learning models, or intelligent automation) to enhance the efficiency and accuracy of reporting and client analytics.

RESPONSIBILITES

Own and continuously improve a portfolio of business-critical reports, analytics, and internal data applications.
Take ownership of incoming reporting and analytical requests, translating business requirements into reliable, scalable, and maintainable solutions.
Investigate, reconcile, and resolve complex data discrepancies across multiple systems and stakeholders.
Perform root-cause analysis on reporting issues and implement sustainable long-term solutions.
Use Python and SQL to extract, transform, validate, and analyze large datasets.
Design, develop, and enhance reporting workflows, analytical processes, and internal tools in response to evolving business requirements.
Work with AWS-based data infrastructure, including Glue, Data Catalog, Athena, and related services.
Document reporting logic, business rules, data lineage, and technical processes.
Investigate business questions and provide analytical insights based on trading and operational data.
Support validation and critical review of existing risk management and dealing methodologies when required.
Identify and implement opportunities to apply AI-driven tools and techniques to client profiling, reporting, and daily analytical workflows, improving efficiency, accuracy, and scalability across the reporting ecosystem.