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Senior Business Analyst - Banking (Contact Center & AI)

Virtusa CorporationLas Vegas, NV🇺🇸United StatesPosted 10 Aug 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to shape the future of contact center operations by leveraging AI, allowing you to grow your analytical and strategic skills within a reputable organization. If you have a strong background in banking, particularly with credit card processing and a passion for innovative solutions, you'll thrive in this dynamic environment. Apply today to make a significant impact!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Las Vegas, NV, United States
Posted
3 weeks ago
ScrumAgileJira

Job Description

Relevant Experience: 9+ Years.

 

Skills: Banking Domain with Credit card processing exposure

 

Responsibilities: 

Requirements Elicitation & Process Mapping:

  • Map current-state (as-is) contact center and field service workflows, identifying bottlenecks, redundant data entry, and system toggling issues.

  • Design optimized, agent-centric future-state (to-be) operational processes, leveraging AI assist, automated call wrap-ups, and unified desktop interfaces.

  • Facilitate requirements gathering workshops with front-line agents, team leads, queue managers, and business stakeholders.

 

Agile User Story & Backlog Management:

  • Translate complex business needs into detailed Epics, User Stories, and Acceptance Criteria (using Gherkin/BDD format where applicable).

  • Partner with Product Owners and Scrum Masters to refine, prioritize, and manage the program backlog in Jira or AWS DevOps.

  • Clarify functional requirements during sprint planning and backlog refinement sessions for technical architects and developers.

 

User Acceptance Testing (UAT) & Operational Readiness:

  • Define test scenarios, write UAT test scripts, and coordinate business user testing across deployment phases.

  • Validate that implemented solutions meet specified acceptance criteria and business requirements.

  • Assist Change Management and Training teams by providing process documentation, feature walkthroughs, and functional context for training materials.

 

Data & Operational Analytics

  • Analyze contact center metrics (e.g., Average Handle Time, First Contact Resolution, Transfer Rates, Wrap-Up Time) to identify baseline performance and measure post-implementation improvements.

 

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