On-Site Financial Analyst – Budgets, Forecasts & Insights

Assa Abloy Ab; New Haven (CT); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Discretionary bonus

Paid time off (sick/vacation)

13 paid holidays

Job-protected leave

Health, dental, vision, and life 보험

Job summary

ASSA ABLOY Group in New Haven, CT is seeking a Financial Analyst to support close, forecasts, and analytics. This on-site role collaborates with finance and accounting teams across the organization and leverages Excel and OneStream to deliver accurate reports and insights.

You bring a finance or accounting degree with 2+ years of experience, strong Excel skills, and the ability to explain variances and drive process improvements.

Qualifications

• Bachelor’s degree in Finance, Accounting, or related field with 2+ years of experience.
• Experience in financial reporting, budgeting, forecasting, or month-end close.
• Advanced Excel with PivotTables, VLOOKUPs, and formulas.
• Experience with OneStream reporting or Excel queries is a plus; GAAP/IFRS exposure is a plus.

Responsibilities

• Analyze performance to explain variances and uncover risks and opportunities.
• Deliver insights through financial reports, dashboards, Excel reporting and management presentations.
• Drive the finance cycle by supporting close, budgets, forecasts and intercompany activities.
• Improve how we work through process improvements, automation, acquisition integration and ad hoc analysis.

Skills

Financial analysis

Excel proficiency

Variance analysis

OneStream experience

Education

Bachelor's degree in Finance or Accounting

Tools

OneStream

Job description

ASSA ABLOY Group in New Haven, CT is seeking a Financial Analyst to support close, forecasts, and analytics. This on-site role collaborates with finance and accounting teams across the organization and leverages Excel and OneStream to deliver accurate reports and insights.

You bring a finance or accounting degree with 2+ years of experience, strong Excel skills, and the ability to explain variances and drive process improvements.