Senior BI Analyst - Finance, AI Enabled

Intuitive; Durham (NC); On-site; USD 90,000 - 120,000; Full time

Job summary

Intuitive in Durham, NC seeks a Senior BI Analyst to design and deliver Finance reporting, analytics, data products, and process improvements. You will partner with Finance stakeholders, bridge business and data teams, and translate requirements into clear reporting models and technical specs.

The ideal candidate blends Finance and ERP know-how with strong SQL and BI capabilities, building dashboards, data models, and automated insights while ensuring data lineage and data quality across SAP and

Qualifications

• Senior BI Analyst with focus on Finance reporting and analytics.
• Strong SQL and data modeling skills required.
• ERP knowledge (SAP) preferred.
• Onsite collaboration with Finance stakeholders.

Responsibilities

• Translate business needs into data requirements and report specs.
• Design, build, and maintain Finance dashboards and BI data models.
• Analyze data lineage across ERP, CRM, and data warehouse systems.
• Optimize dashboard usability, data quality, and reporting reliability.
• Lead workstreams through requirements, testing, and governance.
• Support automated monitoring and SOX-governed reporting processes.
• Collaborate with cross-functional teams across global resources.
• Evaluate AI-assisted analytics opportunities.

Skills

SQL

Data analysis

BI tools

Tableau/Power BI

ERP knowledge

Tools

Tableau

Power BI

SQL Server

Job description

Job Description

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 workstreams 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.