Enterprise Data and Analytics – System Analyst

Role Overview:Responsible for end-to-end delivery of enterprise data and analytics solutions across traditional and modern data architectures. The role covers requirements analysis, solution design, testing, implementation, and production support, ensuring scalable, compliant, and high-quality data platforms that support advanced analytics and AI initiatives.Experience in Financial Crime Analytics, Finance & Credit Risk Analytics, Credit Scoring & Decision Systems, and Retail & Wholesale Datamarts is advantageous.Key Responsibilities:Total Yrs. of Experience 8–12 years System AnalysisLead end-to-end solution delivery across the full SDLCAnalyze business and regulatory requirements and translate them into scalable solution designs with estimationsCommunicate complex technical and architectural concepts to business and senior stakeholdersReview and approve test strategies, functional test cases, and data validation approachesManage risks and issues related to scope, data quality, regulatory commitments, and timelinesParticipate in product/platform evaluations (RFPs, PoCs) for data, analytics, and AI toolsCollaborate with production support for root cause analysis, resolution, and preventive controlsDrive innovation and modernization initiatives including data governance, cataloguing, and AI enablementImprove productivity, efficiency, and quality across delivery and operationsDesign data architectures supporting NLP and AI-driven analyticsFunctional Skillsets:Analytics Domains:Financial Crime Analytics (Transaction Monitoring, CDD, Sanctions & Payments Screening)Finance & Credit Risk Analytics (Reconciliation, Reporting, Credit Risk, Basel, IFRS9)Enterprise Data & Analytics:Experience delivering large-scale analytics platforms across structured, semi-structured, and unstructured dataStrong requirements analysis and functional design for analytics use cases involving transactional and textual dataExperience in data quality, governance, lineage, and reconciliationUnstructured Data & NLP Analytics:Design data architectures for unstructured and semi-structured data ingestion and governanceTranslate business needs into NLP use cases such as text classification, entity extraction, risk identification, and summarizationKnowledge Graph & Relationship Analytics:Define relationship taxonomies, entity resolution rules, and linkage logicDesign analytics for network-based risk identification, hidden associations, and exposure analysisTechnical Skillsets:Certifications:Minimum two relevant certifications in data platforms, cloud, or analyticsData Platforms & Architecture:Apache Iceberg, Delta Lake, Apache HudiSpark, Trino/Presto, HiveCost optimization (tiered storage, lifecycle management, workload governance)Programming & Analytics:SQL, BTEQ, GCFRPython (Pandas, NumPy)Power BI, QlikSenseData Integration & Quality:Informatica (PowerCenter, BDM, IDQ, Enterprise Data Catalogue)Batch, CDC, and streaming ingestionData validation, quality, and reconciliation frameworksGovernance, Risk & Compliance:Data modelling, regulatory reportingData access controls (row/column level, masking)Metadata management, lineage, impact analysisCompliance: BCBS 239, MAS, AML/CFTBig Data Platforms:Cloudera Hadoop (Hive, Impala, Spark, Iceberg, Trino)