Syscort Technologies

Business Data Analyst - Banking

Syscort Technologies Sharjah, Sharjah Emirate, United Arab Emirates

IT Services and IT Consulting · 51-200 employees

5 h ago
data-analyst Mid (2-5 yrs) Full-time United Arab Emirates
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About the role

The role involves bridging the gap between business stakeholders and technical teams to translate requirements into data solutions while performing data discovery, profiling, and reconciliation. You will also be responsible for developing MIS dashboards, automating reporting processes, and supporting regulatory and audit-related data initiatives.

What they look for

SQL Data Analysis Power BI Tableau Excel Data Mapping Data Reconciliation Business Requirements Data Quality ETL Data Warehousing Stakeholder Management Banking Domain Knowledge UAT SIT Problem Solving

Requirements

Candidates must have 3-6 years of experience as a Business or Data Analyst, preferably within the banking or financial services sector. Proficiency in SQL, BI tools like Power BI or Tableau, and advanced Excel skills are essential for this position.

Full description

Role Summary

We are looking for a Business Data Analyst with banking or financial-services experience to support data-driven transformation, reporting, analytics and process improvement initiatives.

The role will act as a bridge between business stakeholders and technology/data teams, translating business requirements into data requirements, analysing data across multiple banking systems, identifying data-quality issues and supporting reporting, reconciliation and automation initiatives.

Key Responsibilities

  • Gather, analyse and document business and data requirements from Banking, Finance, Risk, Compliance, Operations and other business teams.
  • Understand banking processes, products, systems and associated data flows.
  • Identify relevant data sources across core banking, digital channels, CRM, risk, finance and other enterprise systems.
  • Perform data discovery, profiling, cleansing and validation to identify gaps, anomalies and inconsistencies.
  • Develop source-to-target mappings, data dictionaries, business rules and data lineage documentation.
  • Write and execute SQL queries for data extraction, analysis, validation and reconciliation.
  • Analyse large datasets to identify trends, exceptions, data-quality issues and business insights.
  • Develop and maintain MIS, dashboards and management reports using Power BI / Excel or similar BI tools.
  • Support automation of manual reporting and data-analysis processes.
  • Perform data reconciliation between source systems, data warehouses and reporting outputs.
  • Work with technology teams, data engineers and vendors to resolve data issues and clarify business rules.
  • Support SIT/UAT, including preparation of test scenarios, validation of data, reports and business rules.
  • Investigate production data issues and support root-cause analysis and resolution.
  • Support regulatory, audit, risk and compliance-related data requirements where applicable.
  • Prepare clear documentation, analytical findings and presentations for business and senior stakeholders.
  • Participate in data migration, integration and digital-transformation projects.

Required Skills & Experience

  • 3–6 years of experience as a Business Data Analyst, Data Analyst, BI Analyst or Technical Business Analyst.
  • Prior experience in banking, financial services or fintech is strongly preferred.
  • Strong SQL skills, including joins, aggregations, subqueries and data validation.
  • Strong understanding of data analysis, data structures, databases and data quality.
  • Experience with Power BI, Tableau or similar BI/reporting tools.
  • Advanced Excel skills.
  • Experience with data mapping, reconciliation, business rules and requirements documentation.
  • Understanding of ETL, data warehouses and enterprise data environments.
  • Experience supporting UAT/SIT and working with technology teams.
  • Strong analytical and problem-solving abilities.
  • Strong communication and stakeholder-management skills.

Good to Have

  • Experience with Temenos T24/Transact, Oracle, FIS, Finacle or other core-banking platforms.
  • Knowledge of banking domains such as Retail/Corporate Banking, Payments, Lending, Cards, Finance, Risk, AML/KYC or Regulatory Reporting.
  • Exposure to Python, Alteryx, SAS or other data-analytics/automation platforms.
  • Experience with data migration or enterprise data-transformation projects.
  • Understanding of CBUAE/regulatory reporting requirements.

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