AI Finance Analyst

The RoleE&E Co., Ltd (DBA JLA HOME) is building the AI-enabled financial analysis and connected business systems needed to support approximately $1 billion in annual revenue. Our operations span wholesale and retail, online and offline channels, B2B, B2C and D2C, and multiple marketplace storefronts. In this role you will partner with Finance, Sales and the other commercial teams to modernize our systems and deliver reliable, data-driven business insight. Sitting within IT and working on behalf of Corporate Finance, you will be the bridge between finance, technology and business stakeholders. This is a unique opportunity to have an outsized impact in a highly visible and strategic area of the company.Responsibilities

• Connect the business. Integrate ERP and finance data with our order, inventory, warehouse, marketplace, website, social-commerce and advertising systems. Map processes and interfaces, and establish shared definitions for customers, products and accounts across systems.
• Build trustworthy P&L reporting. Develop repeatable profit-and-loss reporting and dashboards. Reconcile sales, settlements, inventory costs, platform fees, advertising, freight, returns and shared costs to source records and financial controls, and clearly identify estimates and unallocated amounts.
• Explain performance. Analyze margin and cost drivers, explain monthly variances, and support forecasting, pricing and scenario analysis. Translate findings into practical actions with Finance and the commercial teams.
• Apply AI responsibly. Design and evaluate AI-assisted workflows for document extraction, reconciliation, anomaly investigation and evidence-based explanations. Ensure every workflow uses reproducible calculations, traceable sources, appropriate access controls and human review for material decisions.
• Support the ERP program. Contribute to ERP selection, upgrades and integrations through business requirements, scripted demonstrations, fit-gap analysis, data mapping, migration testing and user acceptance. Work with engineers and vendors to ensure reliable delivery.
• Sustain the results. Measure the benefits of automation, document workflows and train users. Partner with Finance on accounting definitions and approvals, and coordinate with IT on security, monitoring and ongoing support.Required Qualifications
• Education. A relevant master's degree or MBA in information systems, computer science, data science, business analytics, accounting or finance, or equivalent professional experience demonstrating both technical and financial depth.
• Experience. Typically three to eight years in finance systems, technical business analysis, ERP implementation, finance analytics or finance transformation, including exposure to complex inventory-based, wholesale, retail or e-commerce operations and to scalable data controls. Candidates at the upper end of this range who have led an end-to-end ERP implementation or a production AI workflow will be considered for the Senior level.
• ERP. Hands-on implementation, integration or financial-process experience with at least one enterprise ERP, such as SAP S/4HANA Finance, Microsoft Dynamics 365 Finance, Oracle Fusion Cloud Financials or a comparable platform.
• Technical skills. Practical SQL and Python (or a comparable language); experience with APIs, data mapping and reconciliation; proficiency in Excel and a BI tool such as Power BI or Tableau; and the ability to trace a transaction from sub-ledger to general ledger.
• AI judgment. The ability to identify valuable use cases, assess data readiness and model limitations, and choose appropriately between AI, deterministic rules and human review, while explaining the expected benefits, error risks and operating costs.
• Applied AI capability. A demonstrated working workflow built on an LLM API or an enterprise AI platform using approved data, tested against verified examples, with failures investigated and accuracy and business value measured. Substantive professional or project work is acceptable.
• Financial and business acumen. A sound understanding of financial statements, inventory, revenue, cost and cash, and the ability to communicate clearly across Finance, IT and business teams. Relevant backgrounds include inventory-based businesses, ERP partners and finance-transformation consulting.Level and Growth PathWe are hiring at two levels and will set the level according to the candidate's experience and demonstrated results:
• AI Finance Analyst. Typically three to five years of experience; has contributed to an ERP implementation or integration and has built reconciled reporting or an AI-assisted workflow under supervision.
• Senior AI Finance Analyst. Typically five to eight years of experience; has led an end-to-end ERP implementation, integration or finance-transformation workstream and has taken an AI or automation workflow into production with measured results. Expected to lead workstreams, mentor junior analysts and act as the business-side lead with vendors.Growth path: this role is designed to grow with the program. As the finance platform and data foundation scale, the expected progression is AI Finance Analyst → Senior AI Finance Analyst → Finance Systems Manager or Finance Data & AI Lead → Director, Finance & Commerce Systems. The company funds platform certification (for example NetSuite, Microsoft Dynamics 365 or SAP) and analytics credentials, and supports part-time graduate study for strong performers.