Senior Financial Analyst - FP&A & Ops Insights (Onsite)

EMR Group; Camden (NJ); On-site; USD 140,000 - 150,000; Full time

Job summary

EMR USA Metal Recycling in Camden, NJ, is seeking a highly analytical Financial Analyst to support financial planning, reporting, forecasting, and business improvement initiatives. This role is 100% onsite and collaborates with leadership across operations, sales, and logistics.

Ideal candidates will manage large datasets, build financial models, and present recommendations to senior management. The position offers growth and a collaborative environment focused on accuracy and impact.

Qualifications

• Bachelor’s degree in Accounting, Finance, Economics, Data Science, Business, or a related field.
• 5+ years of experience in financial analysis, corporate finance, FP&A, or related discipline.
• Strong experience developing financial models, forecasts, budgets, and business cases.
• Advanced Microsoft Excel skills with complex formulas, lookups, pivot tables.

Responsibilities

• Analyze historical financial and operational performance; identify risks and opportunities.
• Perform variance analysis against budgets, forecasts, plans, and objectives.
• Develop and maintain financial models to support planning and decision-making.
• Prepare revenue, expense, capital expenditure, and other financial forecasts.
• Create dashboards and reports to provide decision support to leadership.
• Track KPIs and provide actionable insights to project managers and leaders.
• Partner with operations, sales, logistics, and manufacturing to build business cases.
• Support month‑end close with journal entries, reconciliations, and analyses.
• Conduct market research, data mining, and comparative financial analysis.

Skills

Financial modeling

Forecasting

Variance analysis

Data analysis

Communication

Education

Bachelor's in Accounting/Finance

Tools

Excel

Job description

EMR USA Metal Recycling in Camden, NJ, is seeking a highly analytical Financial Analyst to support financial planning, reporting, forecasting, and business improvement initiatives. This role is 100% onsite and collaborates with leadership across operations, sales, and logistics.

Ideal candidates will manage large datasets, build financial models, and present recommendations to senior management. The position offers growth and a collaborative environment focused on accuracy and impact.