Business Data Analyst - Banking

About Syscort

Syscort is a global consulting and technology services company headquartered in the UAE, offering transformative business solutions across MENA, APAC, UK, US, and Europe. Its specialties include Treasury & Risk Consulting, Financial Transformation, Data & Analytics, Artificial Intelligence & Automation, and Technology Consulting, aimed at enhancing organizational performance and enabling future-ready enterprises.

Role Overview

We are seeking a Business Data Analyst with a background in banking or financial services to drive data-centric transformation efforts, support reporting and analytics, and optimize processes. This position serves as a liaison between business units and technical teams, translating business needs into data requirements, evaluating data across multiple banking systems, detecting data inconsistencies, and aiding in reporting, reconciliation, and automation tasks.

Key Responsibilities

• Collect, assess, and document business and data-related requirements across departments such as Banking, Finance, Risk, Compliance, and Operations.
• Gain a thorough understanding of banking operations, products, systems, and related data workflows.
• Locate pertinent data sources spanning core banking, digital channels, CRM, risk management, finance, and other enterprise platforms.
• Conduct data profiling, cleansing, validation, and discovery to identify data gaps, anomalies, and quality issues.
• Create source-to-target data mappings, develop data dictionaries, document business rules, and establish data lineage.
• Compose and run SQL queries for extracting, analyzing, validating, and reconciling data.
• Analyze extensive datasets to detect patterns, exceptions, data quality problems, and generate business insights.
• Build and maintain management information systems, dashboards, and reports utilizing Power BI, Excel, or equivalent BI tools.
• Assist in automating manual reporting and data analysis workflows.
• Perform data reconciliation among source systems, data warehouses, and reporting outputs.
• Collaborate with IT teams, data engineers, and third-party vendors to troubleshoot data issues and clarify business rules.
• Support System Integration Testing (SIT) and User Acceptance Testing (UAT), including preparation of test cases and validation of data and reports.
• Investigate and resolve production data problems through root cause analysis.
• Assist with data requirements related to regulatory compliance, audit, risk, and other governance areas.
• Prepare comprehensive documentation, analytical reports, and presentations tailored for business and senior leadership stakeholders.
• Engage in projects involving data migration, integration, and digital transformation.

Required Qualifications and Skills

• Between 3 to 6 years of experience as a Business Data Analyst, Data Analyst, BI Analyst, or Technical Business Analyst.
• Prior work experience in banking, financial services, or fintech environments is highly preferred.
• Proficient in SQL, including complex joins, aggregations, subqueries, and data validations.
• Strong understanding of data analysis techniques, data structures, databases, and assessments of data quality.
• Familiarity with Power BI, Tableau, or similar business intelligence and reporting tools.
• Advanced expertise in Microsoft Excel.
• Experience in data mapping, reconciliation efforts, documenting business rules, and requirement gathering.
• Knowledge of ETL processes, data warehousing concepts, and enterprise data architecture.
• Experience supporting testing phases such as UAT and SIT and working collaboratively with technology teams.
• Strong analytical thinking and problem-solving capabilities.
• Excellent communication skills and ability to manage stakeholder relationships effectively.

Desirable Skills

• Experience with core banking platforms such as Temenos T24/Transact, Oracle, FIS, or Finacle.
• Understanding of banking verticals including Retail/Corporate Banking, Payments, Lending, Cards, Finance, Risk Management, AML/KYC, or Regulatory Reporting.
• Exposure to data analytics and automation tools such as Python, Alteryx, or SAS.
• Involvement in data migration or enterprise data transformation projects.
• Familiarity with CBUAE or related regulatory reporting requirements.