Senior Business Analyst (contract)

Responsibilities

• Lead business and technical requirements gathering sessions with stakeholders and partner delivery teams.
• Facilitate meetings, workshops, and working sessions involving cross-functional stakeholders.
• Manage and prioritize project backlogs, requirements, and delivery dependencies.
• Document business processes, functional requirements, data definitions, assumptions, and business rules.
• Parenthetical with technical teams developing Microsoft Fabric solutions, semantic models, and reporting capabilities.
• Cooordinat testing activities, validation efforts, and issue resolution tracking.
• Develop and maintain decision logs, issue logs, and project documentation repositories.
• Define and document operating procedures, governance processes, security assumptions, and change management practices.
• Support onboarding and knowledge transfer activities for future projects and support teams.
• Identify and document data requirements related to historical data, snapshot tables, auditability, and reporting needs.
• Act as a liaison between compensation stakeholders, HR partners, analytics teams, and technology resources.

Qualifications

• Strong Business Analyst, Business Systems Analyst, Product Delivery, or related experience.
• Strong expertise in requirements gathering, business analysis, and documentation.
• Proven ability to translate business needs into well-defined technical requirements.
• Experience supporting Data & Analytics, BI, Data Warehouse, or reporting initiatives.
• Strong understanding of relational database concepts, data structures, and data lineage.
• Experience managing backlogs, dependencies, risks, and cross-functional collaboration.
• Excellent communication, presentation, and stakeholder management skills.
• Experience with Microsoft Fabric.
• Experience with Power BI, semantic models, and analytics/reporting solutions.
• Background working with Compensation, HR, Human Capital, or Workforce data.
• Experience defining governance, operational processes, or data management practices.
• Financial services or banking industry experience is a plus.
• Familiarity with historical data modeling, snapshot tables, audit requirements, and data retention concepts.