Business Systems Analyst

Job description

JOB SUMMARY The Business Systems Analyst (BSA) partners with business and technology teams to translate business objectives, operating processes, data, rules, and user needs into clear, testable, and traceable solution specifications. The BSA serves as a functional design and validation partner throughout delivery—co-authoring specifications with developers, resolving business ambiguity, maintaining alignment among requirements, scenarios, acceptance criteria, and delivered functionality, and validating that solutions produce intended business outcomes. The role uses company-approved AI and automation tools to accelerate analysis while applying appropriate human judgment, governance, security, and quality controls. The BSA works across waterfall, hybrid, Agile, and AI-assisted delivery approaches. KEY RESPONSIBILITIES Business Analysis and Requirements Management Elicit, analyze, document, validate, and manage business, user, functional, non-functional, data, integration, security, operational, and reporting requirements. Facilitate interviews, workshops, process discovery sessions, decision forums, and collaborative planning with business and technology stakeholders. Translate business objectives into structured epics, features, user stories, functional specifications, business rules, decision logic, scenarios, acceptance criteria, process models, data definitions, integration requirements, and expected outputs. Define normal, exception, boundary, negative, security, data-quality, and operational scenarios before development begins. Document source data, transformations, calculations, expected results, dependencies, assumptions, constraints, and unresolved business decisions. Partner with developers during grooming and high-level design to identify conflicts, gaps, feasibility concerns, reusable components, and impacts to upstream or downstream processes. Maintain requirements and specifications as living delivery artifacts and preserve traceability from business objectives through design, testing, implementation, and outcome measurement. Groom and maintain prioritized backlogs in partnership with business owners, project managers, and delivery teams. Process Improvement and Solution Discovery Document current-state processes and design future-state workflows that simplify work, improve controls, reduce delays, and enhance the user experience. Identify opportunities for standardization, automation, data improvement, responsible AI use, and elimination of non-value-added activities. Evaluate solution options with business and technology partners and document impacts, dependencies, risks, assumptions, constraints, and tradeoffs. Participate in high-level solution and component-design discussions to represent business processes, rules, data, controls, user experience, and operational needs. Work with architects and developers to assess maintainability, end-to-end process impacts, and alignment with intended business outcomes. Create low-code prototypes, process automations, analytical models, or other approved solution artifacts when appropriate to accelerate validation and delivery. AI-Assisted Delivery and Functional Design Use approved AI-enabled tools to accelerate discovery, process analysis, requirements development, specification creation, scenario development, test design, and knowledge management. Translate business needs into structured, sufficiently detailed inputs that can be consumed by developers and approved AI-assisted delivery processes. Co-author functional specifications, business rules, scenarios, acceptance criteria, data definitions, and expected outcomes with developers and functional subject-matter experts. Review AI-generated specifications, scenarios, test artifacts, analysis, and documentation for accuracy, completeness, consistency, security, and alignment with business intent. Resolve or escalate business ambiguities, conflicting rules, missing scenarios, and gaps identified through automated authoring and validation processes. Maintain bidirectional traceability among business objectives, requirements, specifications, scenarios, acceptance criteria, tests, implementation decisions, and delivered functionality. Ensure approved specifications and supporting documentation remain synchronized with the implemented solution. Apply company AI governance, data protection, records-management, digital security, risk-management, and human-approval requirements. Data Definition and Solution Validation Define business data concepts, data ownership, source systems, transformations, calculation rules, reconciliation criteria, retention needs, and expected outputs. Partner with data and technical teams to establish data dictionaries, semantic definitions, interface requirements, and validation rules. Identify representative production-like data, known outputs, exceptions, and edge cases needed for development and testing. Validate delivered calculations, data transformations, interfaces, reports, and system behavior against approved business rules and known results. Investigate discrepancies, distinguish requirements gaps from implementation defects, and document the agreed resolution. Ensure reporting, analytics, auditability, and downstream data needs are considered during functional and solution design. Delivery, Testing, and Readiness Collaborate with business owners, product teams, architects, developers, quality assurance, security, data, change, and vendor partners throughout delivery. Define business validation strategies and ensure requirements, specifications, scenarios, acceptance criteria, and test coverage remain aligned. Develop and maintain business scenarios, expected results, traceability, user acceptance criteria, and validation evidence. Participate in specification reviews, test-design reviews, integration testing, defect triage, user acceptance testing, and production-readiness decisions. Differentiate defects, requirement gaps, data problems, configurati