Business Analyst – Data
2 weeks ago
Job Description: Business Analyst – Data & AI (Banking Domain)Experience:10–11 YearsLocation:DubaiCompany:BigTapp AnalyticsIndustry:Banking & Financial ServicesJob SummaryBigTapp Analytics is seeking an experiencedBusiness Analyst – Data & AIwith deep banking domain expertise. The ideal candidate will translate complex banking business requirements into functional, technical, and data specifications while working closely with Data Engineering, AI/ML, and BI teams. The role spans across retail, corporate, credit, finance, and risk functions, supporting enterprise-wide data-driven transformation and AI initiatives.Must-Have SkillsExtensive experience as a Business Analyst in Data, Analytics, and AI projectsStrong Banking Domain knowledge (Retail, Corporate & ideally Investment Banking)Hands-on experience with core banking systems (Avaloq / Finacle)Strong SQL skills and data analysis capabilitiesFamiliarity with cloud ecosystems – Azure, AWS, Snowflake, DatabricksKey ResponsibilitiesRequirements & DocumentationGather, analyze, and document functional and non-functional requirementsPrepare BRDs, FSDs, user stories, acceptance criteria , and data mapping sheetsConduct requirement workshops and manage stakeholder communicationsData, BI & AI CollaborationWork with Data Engineering & BI teams on data ingestion, data models, KPIs, and dashboardsSupport AI/ML initiatives (churn, fraud, credit scorecards, segmentation, forecasting)Validate ML model outputs, ensuring accuracy, explainability, and business alignmentTesting & GovernanceSupport UAT by preparing test scenarios, coordinating execution, and validating resultsEnsure adherence to regulatory, governance, and compliance frameworks (data quality, lineage, metadata)QualificationsBachelor's degree in Business, Finance, IT, Computer Science , or related fieldPreferred certifications: Azure/AWS Fundamentals , AI/ML FoundationsTechnical SkillsStrong SQL and data profiling skillsUnderstanding of Finacle tables, CIF structures, and banking transaction dataKnowledge of data warehousing concepts and governance frameworksFamiliarity with data lineage, metadata management, and data quality processesSoft SkillsStrong communication and stakeholder managementExcellent analytical and problem-solving skillsAbility to collaborate with cross-functional teamsHigh attention to detail with strong documentation abilitiesGood to HaveExperience with GenAI use casesExposure to AML/KYC, IFRS9, Basel II/IIIExperience with other core banking systems (T24, Flexcube, etc.)Work Experience10+ years of relevant experience in Banking Data & Analytics5+ years as a Business Analyst working closely with Data Engineering & AI/ML teamsCompensation & BenefitsCompetitive salary + annual performance bonusesComprehensive medical coverage (with parental insurance options)Optional retirement savings and tax-benefit plansKey Result Areas (KRAs)Complete and accurate requirement documentationStrong stakeholder alignmentCompliance with regulatory & governance frameworksEffective collaboration with Data Engineering, BI, and AI/ML teamsSmooth UAT cycles and readiness for go-liveKey Performance Indicators (KPIs)100% requirement completeness & stakeholder sign-off
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