Senior BI Analyst - Finance, AI Enabled

Primary Function of Position

We are seeking an experienced Senior BI Analyst to support the design and delivery of Finance reporting, analytics, data products, and process-improvement solutions. Working closely with the Finance Product Owner, this role will serve as an onsite analytical partner to Finance stakeholders and a key link between business, application, data engineering, and reporting teams.

The ideal candidate combines Finance and ERP process knowledge with strong SQL, data analysis, and business intelligence capabilities. Operating at the intersection of business logic and data engineering, you will understand complex business processes, trace data lineage across systems, investigate discrepancies, and translate business needs into clear reporting models and technical requirements. You will design and deliver trusted dashboards, BI data models, operational monitoring, and self-service analytics while evaluating practical automation and AI-assisted analytics opportunities (deep AI/ML engineering experience is not required).

Essential Job Duties

• Technical Translation & Requirements Gathering: Partner with the Finance Product Owner and Finance stakeholders to understand business processes, controls, and reporting needs. Translate business needs into functional and data requirements, business rules, report specifications, user stories, and acceptance criteria.
• 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 platforms.
• Lineage, Reconciliation & Root-Cause Analysis: Analyze end-to-end processes and data flows across ERP (SAP), CRM, billing, data warehouse, and reporting platforms. Use advanced SQL and analytical tools to reconcile data, validate business rules, investigate discrepancies, and identify root causes.
• Performance Tuning & Reporting Reliability: Optimize dashboard usability, query performance, data refresh schedules, metric consistency, and overall reporting reliability.
• Delivery Leadership & Governance
  :
  Lead assigned work streams through requirements, solution design, UAT, regression testing, reconciliation, implementation readiness, and stakeholder sign-off. Maintain data definitions, reporting specifications, test evidence, user guides, and governance documentation.
• 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 resources.
• 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.