Senior BI Analyst — Finance, AI Enabled

Intuitive•Durham, NC

1d•$136,600 - $231,300•Onsite

About The Position

The Senior BI Analyst supports the design and delivery of Finance reporting, analytics, data products, and process-improvement solutions. Working closely with the Finance Product Owner, the analyst serves as an onsite analytical partner to Finance stakeholders and connects business, application, data engineering, and reporting teams. The role combines Finance and ERP process knowledge with SQL, data analysis, and business intelligence capabilities. It involves understanding complex business processes, tracing data lineage across systems, investigating discrepancies, and translating business needs into reporting models and technical requirements. The analyst designs and delivers dashboards, BI data models, operational monitoring, and self-service analytics, and evaluates practical automation and AI-assisted analytics opportunities; deep AI/ML engineering experience is not required.

Requirements

At least 7 years of progressive experience in business intelligence, Finance analytics, reporting, business systems analysis, or enterprise data solutions.
Experience with SAP or another enterprise ERP platform, including strong understanding of Finance-related processes and cross-system data flows.
Expert-level SQL skills for complex querying, source-to-target reconciliation, data troubleshooting, root-cause analysis, and query performance optimization.
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 analytics platform.
Solid understanding of data warehousing concepts, dimensional modeling, semantic layers, data quality, lineage, and visualization best practices.
Demonstrated experience translating business needs into technical specifications and leading UAT, regression testing, issue resolution, and business-readiness activities.
Proven ability to communicate complex business, system, and data topics to technical teams, Finance stakeholders, and senior leadership without direct authority.
Bachelor’s or Master’s degree in Information Systems, Business Analytics, Finance, Accounting, Computer Science, Data Analytics, or a related field.

Nice To Haves

Experience with SAP Finance, Salesforce, CPQ/CLM, billing, or revenue-management platforms.
Experience with Snowflake or another modern cloud data platform.
Experience supporting financially significant applications, internal controls, or SOX-governed reporting.
Familiarity with data governance, master data management (MDM), metadata, lineage, and data-quality frameworks.
Exposure to AI-assisted analytics, natural-language querying, intelligent monitoring, Snowflake Cortex, or comparable emerging technologies.
Experience coordinating and reviewing work with distributed onsite and offshore analysts or consultants.

Responsibilities

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.
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.
Analyze end-to-end processes and data flows across ERP (SAP), CRM, billing, data warehouse, and reporting platforms.
Use SQL and analytical tools to reconcile data, validate business rules, investigate discrepancies, and identify root causes.
Optimize dashboard usability, query performance, data refresh schedules, metric consistency, and reporting reliability.
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.
Support automated monitoring, exception management, data-quality controls, and financially significant or SOX-governed reporting processes.
Collaborate with application, Data Engineering, Data Science, AI, and platform teams; coordinate and review deliverables across distributed onsite and offshore resources.
Evaluate and support opportunities for intelligent alerts, natural-language analytics, AI-assisted analysis, and workflow automation within Finance processes.