Information Technology Business Analyst

KEY FUNCTIONAL RESPONSIBILITIES :-

• Collaborate with business stakeholders to elicit, analyse, and document business requirements related to data, reporting, and system integrations
• Analyse source-to-target process flows to identify gaps, inconsistencies, and improvement opportunities
• Translate business rules into structured data requirements and definitions
• Produce high-quality documentation including: Business Requirement Documents (BRD), Functional Specification Documents (FSD), x`Data Mapping Specifications documents (source-to-target mappings, transformation rules, lookup logic)
• Assist system owners on data profiling, validation, and impact analysis to support change initiatives
• Support data migration, system replacement, and integration projects by ensuring accurate and traceable data mappings
• Work closely with solution architects, developers, and data engineers to clarify data transformation logic
• Validate data mappings through test scenarios and data reconciliation activities
• Ensure alignment with enterprise data standards, governance policies, and regulatory requirements
• Support SIT, UAT, and data validation testing activities
• Define test scenarios completeness according to the business requirements
• Assist in issue analysis, root cause identification, and resolution for defects
• Act as a liaison between business users, IT teams, and external vendors
• Facilitate workshops, walkthroughs, and validation sessions for data-related deliverables
• Support change impact assessments and training materials related to data changes

ROLE REQUIREMENTS AND QUALIFICATIONS :

Core Requirements

• Bachelor’s Degree in Information Technology, Computer Science, Data Management, or related discipline
• 3–5 years of experience as an IT Business Analyst in Investment Banking or Capital Market, with strong focus on data analysis or data mapping
• Hands-on experience with: Data mapping and transformation logic, Data migration or system integration projects, Relational databases and data concepts (tables, keys, joins)
• Strong analytical and problem-solving skills with attention to detail
• Proven ability to translate complex data concepts into business-friendly language
• Excellent Business Writing skills
• Good communication and interpersonal skills
• Possess organizational skills and good time management

Technical & Tooling Skills

• Proficiency with SQL for data analysis and validation
• Experience using tools such as: Excel (advanced formulas, pivot tables); Python, Data modelling or ETL tools (e.g. Informatica, Talend, SSIS – advantage), BI or reporting tools (e.g. Power BI, Tableau – advantage)
• Familiarity with SDLC, Agile, or hybrid delivery methodologies