Sr. Business Intelligence Analyst - Sensitive Data Management

In this role you will bridge Finance, HR, and engineering to translate current-state data warehouse usage into future-state specifications for Fabric. You will drive requirements, data quality, and validation activities while handling sensitive HR and finance data with appropriate controls. You'll partner with cross-functional teams to ensure solutions align with business goals and governance standards. This role offers visibility into critical data products and the chance to shape data-driven decisions at Esri. You will operate in a collaborative, campus-based environment and contribute to strategic initiatives in data analytics and reporting.

• medical, dental, vision
• basic and supplemental life insurance
• 401(k) and profit-sharing
• vacation leave and paid holidays
• professional growth opportunities
• campus-based work location

• Gather and document business, functional, non-functional, reporting, and security requirements across Finance, HR, and technical teams
• Facilitate workshops to map current processes, data warehouse usage, pain points, controls, and objectives
• Translate requirements into implementation-ready specs including mappings, transformation rules, and acceptance criteria
• Create and maintain project artifacts such as data dictionaries, models, traces, report mocks, and decision logs
• Collaborate with data engineers to resolve gaps and support development planning
• Design and coordinate validation for migrated data products with reconciliation and defect tracking
• Establish data quality and monitoring solutions using Power BI or similar tools
• Document governance, security, compliance requirements including RBAC, data masking, lineage, retention, and auditing
• Lead UAT activities from planning to sign-off and post-migration validation
• Act as liaison between business and technical teams, communicating risks and aligning with Finance and HR goals

• 5+ years in business analysis for data, analytics, BI, or data warehouse in HR, Finance, Accounting, Payroll, or similar controlled domains
• Ability to translate business requirements into functional specs, data mappings, acceptance criteria, and test plans
• Intermediate to advanced SQL querying (T-SQL) and data profiling/validation
• Knowledge of dimensional modeling, semantic models, KPIs, hierarchies, and data lineage
• Experience with data validation, UAT, defect triage, and production readiness for reporting/data products
• Excellent written and verbal communication adaptable to SMEs, engineers, and executives
• Strong facilitation, organization, prioritization, and stakeholder management
• Ability to handle restricted HR/compensation/payroll/financial data with confidentiality
• Authorized to work in the United States; visa sponsorship not available
• Bachelor's degree or equivalent experience in relevant fields

• exceptional communication
• facilitation
• organization
• T-SQL
• SQL Server tools
• Excel