Financial Systems Analyst - ERP & Data Analytics

Exemplar Luxury Group; Raleigh (NC); On-site; USD 65,000 - 81,000; Full time

Job summary

Saks Global is the world’s largest multi-brand luxury retailer, seeking a Financial Systems Analyst to support and optimize our accounting and financial systems. You will partner with Finance, IT, Merchandising, Planning, and Inventory teams to deliver enhancements and data‑driven decision making.

You will lead projects, analyze complex data, implement new applications, and drive process improvements, while training users and ensuring data accuracy to enable strategic growth.

Qualifications

• Bachelor’s degree in Accounting, Finance, Business, Information Systems, or equivalent.
• 2–3 years of relevant experience in financial systems.
• Strong technical and financial background with analytical capabilities.

Responsibilities

• Lead financial systems support and administration of accounting/finance apps.
• Manage cross‑functional financial systems projects with IT, Merchandising, Planning, and Inventory teams.
• Analyze financial and operational data to identify trends and support self‑service reporting.
• Drive process improvements to increase efficiency and strengthen workflows.
• Implement new financial applications and maintain configurations, master data, and integrations.
• Troubleshoot issues, provide user training, and ensure data accuracy and compliance.
• Collaborate on special projects and deliver end‑user training and documentation.

Skills

Analytical skills

Excel expert

Communication

Interpersonal skills

Strategic liaison

Finance knowledge

Education

Bachelor's degree in Accounting/Finance/Business Information Systems

Tools

Workday Financials

Oracle EPM

Tableau

Power BI

SQL

Job description

Saks Global is the world’s largest multi-brand luxury retailer, seeking a Financial Systems Analyst to support and optimize our accounting and financial systems. You will partner with Finance, IT, Merchandising, Planning, and Inventory teams to deliver enhancements and data‑driven decision making.

You will lead projects, analyze complex data, implement new applications, and drive process improvements, while training users and ensuring data accuracy to enable strategic growth.