Senior IT Business​/Data Analyst

• Lead structured discovery, requirements elicitation, and alignment discussions with business, technical, vendor, application support, and leadership stakeholders
• Translate business goals, pain points, risks, and operational needs into business, functional, non-functional, data, reporting, integration, enhancement, and support requirements
• Develop and maintain process flows, user journeys, business rules, decision matrices, source-to-target mappings, data definitions, backlogs, acceptance criteria, and traceability documentation
• Use AI-enabled productivity and analysis tools responsibly to improve documentation and requirements quality
• Assess automation, analytics, and AI-enabled opportunities, including value, feasibility, risks, controls, success measures, and adoption considerations
• Support technology reviews, vendor evaluations, solution comparisons, application assessments, RFI/RFP activities, scorecards, and recommendations
• Perform detailed data analysis to validate assumptions, assess data quality, identify trends or anomalies, and support reporting and integration needs
• Partner with architects, developers, data engineers, security, risk, and operations teams to clarify requirements and dependencies and ensure scalable, secure, compliant solutions
• Support Agile, Waterfall, hybrid, and operational delivery through backlog management, sprint readiness, prioritization, acceptance criteria, impact analysis, release readiness, and value-based decisions
• Ensure end-to-end requirements traceability across design, development, testing, deployment, training, and post-implementation value realization
• Lead UAT planning and execution support, including test scenarios, stakeholder coordination, defect triage, issue resolution, and sign-off readiness
• Communicate complex technical, data, and process topics clearly to executives, project teams, vendors, and end users

• Bachelor’s degree in Information Systems, Business, Data Analytics, Computer Science, or a related field; equivalent practical experience may be considered
• 8+ years of experience as a Business Analyst, IT Business Analyst, Product Analyst, Data Analyst, or similar role
• Experience supporting IT projects, enhancements, application changes, or operational technology initiatives
• Ability to lead requirements discovery, stakeholder facilitation, process analysis, data analysis, solution definition, impact analysis, and cross-functional alignment
• Experience developing business, functional, non-functional, data, reporting, integration, and acceptance requirements
• Strong data analysis skills, including data profiling, trend and anomaly identification, output validation, business rules, and source-to-target mapping
• Experience with enterprise systems, APIs, integrations, data flows, reporting platforms, or migration efforts
• Working knowledge of Agile, Waterfall, and hybrid delivery models, including backlog management, sprint readiness, UAT, and release support
• Familiarity with AI-enabled tools and concepts, responsible generative AI use, automation opportunities, data quality, model/output validation, and business value assessment
• Ability to communicate clearly with executives, business users, vendors, architects, developers, testers, and operational teams
• Strong critical thinking, problem framing, facilitation, documentation, prioritization, and decision-support skills
• Emotional intelligence and interpersonal skills, including trust-building, ambiguity navigation, constructive conflict management, influence without authority, empathy, professionalism, and confidence
• Ability to be open and flexible while upholding standards
• Preferred: experience with enterprise platforms or business applications in Finance and/or Investments
• Preferred: familiarity with product management practices
• Relevant certifications such as CBAP, CCBA, PMI-PBA, CSPO, CSM, SAFe, Agile, data analytics, cloud, or AI-related certifications are preferred

Demonstrates expertise in leading requirements elicitation, stakeholder facilitation, and data analysis to drive business and technical alignment. Proficient in Agile and Waterfall methodologies, with a strong focus on documentation quality and end-to-end requirements traceability.

• Requirements Elicitation
• Data Analysis
• Agile Methodologies
• Stakeholder Communication
• AI-Enabled Tools

• Business Requirements Development
• Functional Requirements Development
• Non-Functional Requirements Development
• Data Profiling
• Source-to-Target Mapping
• Process Analysis
• Impact Analysis
• UAT Planning
• Integration Requirements
• Reporting Requirements

• Critical Thinking
• Problem Framing
• Facilitation
• Emotional Intelligence
• Interpersonal Skills

• CBAP
• CCBA
• PMI-PBA
• CSPO
• CSM
• SAFe

• Finance
• Investments
• Operational Technology
• Data Analytics
• Business Applications

• Enterprise Systems
• APIs
• Reporting Platforms
• Automation Tools
• Data Quality Tools