Sr. Business Intelligence Analyst - Sensitive Data Management

Overview This role is intended for a senior Business Intelligence Analyst who can operate across business process discovery, requirements engineering, data analysis, and migration validation. The analyst will work directly with Finance and HR subject matter experts to understand current-state data warehouse usage, document the future-state needs for Fabric, and help engineering teams convert business requirements into actionable technical specifications. The role involves sensitive Human Resources and Finance data, the BA should be comfortable documenting restricted data elements, role-based access needs, data quality expectations, and validation evidence while maintaining appropriate confidentiality and auditability. Be part of a dynamic collaborative environment and join the team at our stunning campus in Redlands, CA, where your analytical skills will help drive strategic business decisions. Responsibilities Partner with Finance, HR, and technical stakeholders to gather, analyze, and document business, functional, non-functional, reporting, and security requirements Facilitate workshops to understand current-state processes, reporting needs, data warehouse usage, pain points, controls, and business objectives Translate business requirements into implementation-ready specifications, including source-to-target mappings, transformation rules, business logic, exception handling, and acceptance criteria Create and maintain project documentation, including process flows, data dictionaries, data models, requirements traceability matrices, report mockups, and decision logs Collaborate with data engineers and subject matter experts to define business rules, resolve requirements gaps, validate assumptions, and support development planning Design and coordinate validation activities for migrated data products, including tables, dimensions, facts, semantic models, and reports using reconciliation, testing, and defect tracking methodologies Establish and maintain data quality, validation, parity reporting, and operational monitoring solutions using Power BI or similar analytics tools Document and support governance, security, and compliance requirements, including data classifications, PII, compensation-related data, role-based access controls, row-level security, data masking, retention, lineage, and audit requirements Lead user acceptance testing (UAT) activities, including test planning, script development, readiness assessments, sign-off processes, and post-migration validation support Serve as the primary liaison between business and technical teams, communicating risks, managing requirement changes, and ensuring solutions align with Finance and HR business goals Requirements 5+ years of direct business analysis experience supporting data, analytics, business intelligence, or data warehouse initiatives for Human Resources, Finance, Accounting, Payroll, or similarly controlled business domains Demonstrated ability to translate business requirements into functional specifications, data mappings, acceptance criteria, test plans, and development-ready backlog items Intermediate to advanced querying and analysis skills using T-SQL, SQL Server tools, Excel, and similar data profiling or validation approaches Working knowledge of dimensional modeling concepts, semantic models, reporting layers, measures, KPIs, hierarchies, and data lineage Experience supporting data validation, reconciliation, defect triage, UAT, stakeholder sign-off, and production readiness for business-critical reporting or data products Exceptional written and verbal communication skills, including the ability to adapt messaging for SMEs, engineers, product owners, managers, and executive stakeholders Strong facilitation, organization, prioritization, and follow-through skills in an environment with multiple stakeholders, evolving requirements, and sensitive data constraints Ability to maintain confidentiality and exercise sound judgment when working with restricted HR, compensation, payroll, financial, or accounting data Applicants must be authorized to work for any employer in the United States; visa sponsorship is not available for this posting Bachelor’s degree in business, information systems, mathematics, finance, accounting, human resources, data analytics, or a related field, or equivalent experience Recommended Qualifications Hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, Lakehouse/Warehouse patterns, Power BI, or cloud data platform migration projects Prior experience migrating or modernizing HR, Finance, Payroll, Accounting, or enterprise reporting data warehouses Experience with medallion architecture concepts, source-system ingestion, bronze/silver/gold layering, dimensional models, and report modernization Experience documenting security models, row-level security, role-based access controls, data masking requirements, and sensitive data handling expectations Knowledge of financial and accounting concepts, HR lifecycle processes, payroll concepts, workforce reporting, or compliance-driven reporting needs Working familiarity with collaboration and analysis tools such as Microsoft 365, SharePoint, Teams, Visio, Lucidchart, Azure DevOps, Jira, or similar delivery tooling Comfortable reviewing SQL logic, stored procedures, views, business rules, and report calculations to support requirement clarification and validation #LI-TM1 #LI-Onsite Total Rewards Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the