Senior Business Analyst Team Lead

Interested candidates can share profiles with krithikaprasad@virtusa.com

Roles and Responsibilities :

• IIBA: Certified Business Analysis Professional

• Requirements Elicitation & Functional Specification: Partner with global business stakeholders, product owners, and domain subject matter experts to gather, analyze, prioritize, and document comprehensive business requirements, user stories, acceptance criteria, and functional design documents for high-volume, data-heavy systems.
• Complex Data Profiling & Analysis: Perform end-to-end data analysis—including data profiling, extraction, transformation logic, cleaning, and reconciliation across large relational (SQL/PL-SQL) and non-relational (e.g., MongoDB) data stores to identify trends, data anomalies, and operational insights.
• Data Lineage, Quality & Governance: Map and document end-to-end data lineage, metadata definitions, and data dictionaries; establish data quality validation checks and collaborate with data engineering teams to remediate data discrepancies and uphold data integrity.
• Banking Domain & Regulatory Alignment: Apply financial services domain knowledge to streamline banking processes (e.g., customer onboarding, credit risk assessment, transaction monitoring) while ensuring all functional solutions comply with regulatory frameworks such as AML, KYC, and related reporting mandates.
• Technical BA & API Verification: Bridge business logic with technical architecture by inspecting and validating REST/SOAP APIs and microservices using Postman, reviewing JSON/XML payloads, and querying databases to support technical analysis and troubleshooting.
• BI, Dashboards & Advanced Analytics: Design, build, and maintain interactive business intelligence dashboards, key performance indicator (KPI) tracking mechanisms, and executive reporting using advanced Excel and modern visualization tools.
• Applied AI & Prompt Engineering: Leverage foundational Generative AI (GenAI) capabilities, prompt engineering techniques, and AI productivity tools to accelerate requirement synthesis, automate test case generation, summarize technical specifications, and assist in exploratory data analysis.
• AI/ML Feature Definition & Use Case Integration: Collaborate with data scientists and machine learning engineers to identify, scope, and document functional specifications for AI/ML-driven capabilities, such as predictive analytics, intelligent automation, and anomaly detection models.
• Agile SDLC & Backlog Management: Lead and participate in all Agile/Scrum ceremonies (sprint planning, backlog grooming, story point estimation, retrospectives), managing and tracking project milestones using tools such as JIRA, TFS/Azure DevOps, and Microsoft Project.
• Architecture & Data Pipeline Collaboration: Partner closely with software and data architects to translate business needs into data ingestion pipelines, target schema designs, and non-functional requirements (scalability, latency, data security, and retention).
• Testing Strategy & User Acceptance Testing (UAT): Formulate data validation strategies, author functional test scenarios, coordinate UAT with business stakeholders, and drive defect triage through resolution to ensure production readiness.
• Technical Documentation & Communication: Produce clear, high-quality technical documentation, process flowcharts (Visio), and executive presentations (PowerPoint), effectively communicating complex technical and architectural details to diverse audiences.
• Global & Cross-Functional Collaboration: Operate effectively in a globally distributed, remote/hybrid environment, driving alignment across cross-functional business, technology, operations, and compliance units.