Senior BI Analyst — Finance, AI Enabled

Job description

Job responsibilities

• Technical Translation & Requirements Gathering: Partner with the Finance Product Owner and Finance stakeholders to understand business processes, controls, and reporting needs.
• BI Design & Solution Delivery: Design, build, and maintain Finance dashboards, published data sources, BI data models, operational reports, and self-service analytics solutions using Tableau, Power BI, or comparable…
• Lineage, Reconciliation & Root-Cause Analysis: Analyze end-to-end processes and data flows across ERP (SAP), CRM, billing, data warehouse, and reporting platforms.
• Performance Tuning & Reporting Reliability: Optimize dashboard usability, query performance, data refresh schedules, metric consistency, and overall reporting reliability.
• Delivery Leadership & Governance : Lead assigned workstreams through requirements, solution design, UAT, regression testing, reconciliation, implementation readiness, and stakeholder sign-off.
• Internal Controls & Quality Monitoring: Support automated monitoring, exception management, data-quality controls, and financially significant/SOX-governed reporting processes.
• Cross-Functional & Global Collaboration: Collaborate with application, Data Engineering, Data Science, AI, and platform teams while coordinating and reviewing deliverables across distributed onsite and offshore…
• Applied AI & Automation Evaluation: Evaluate and support opportunities to implement intelligent alerts, natural-language analytics, AI-assisted analysis, and workflow automation within core Finance processes.

Job requirements

• 7+ years of progressive experience in business intelligence, Finance analytics, reporting, business systems analysis, or enterprise data solutions.
• ERP & Finance Domain: Experience with SAP or another enterprise ERP platform, including strong understanding of Finance-related processes and cross-system data flows.
• Advanced SQL Mastery: Expert-level SQL skills for complex querying, source-to-target reconciliation, data troubleshooting, root-cause analysis, and query performance optimization.
• Enterprise BI Platforms: Strong hands-on experience designing dashboards, BI data models, calculated metrics, published data sources, and self-service solutions in Tableau , Power BI , or a comparable enterprise…
• Data Architecture Fundamentals: Solid understanding of data warehousing concepts, dimensional modeling, semantic layers, data quality, lineage, and visualization best practices.
• Delivery & Testing Leadership: Demonstrated experience translating business needs into technical specifications and leading UAT, regression testing, issue resolution, and business-readiness activities.
• Communication & Influence: Proven ability to communicate complex business, system, and data topics to technical teams, Finance stakeholders, and senior leadership without direct authority.
• Experience with SAP Finance, Salesforce, CPQ/CLM, billing, or revenue-management platforms.