Financial Operations Analyst - Data-Driven & Hybrid

Russell Tobin; Columbus (OH); Hybrid; USD 63,039,000 - 68,770,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) retirement savings

Life & disability insurance

Employee assistance program

Legal support

Auto insurance

Home insurance

Pet insurance

Employee discounts

Job summary

Russell Tobin is seeking a Financial Operations Analyst in Columbus, Ohio for a hybrid role supporting daily financial processes, data validation, reporting, and cross-functional collaboration.

The ideal candidate has a finance or related degree and 0–2 years of experience, with strong analytical and Excel skills. Recent graduates are encouraged to apply and internship experience is a plus.

Qualifications

• Bachelor’s degree in Finance, Economics, Accounting, Business, or a related field.
• 0–2 years of professional experience; recent graduates are encouraged to apply
• Internship experience in finance, banking, accounting, or operations is a plus
• Strong analytical and problem-solving skills
• Excellent attention to detail and organizational skills
• Strong written and verbal communication skills

Responsibilities

• Support daily financial and operational processes
• Analyze, reconcile, and validate financial data
• Assist with transaction processing and financial reporting
• Maintain accurate financial records and documentation
• Prepare reports and support data analysis
• Collaborate with cross-functional teams
• Assist with process improvement initiatives and special projects
• Help ensure accuracy and meet deadlines in a fast-paced environment

Skills

Analytical thinking

Attention to detail

Organizational skills

Communication skills

Multitasking

Education

Bachelor’s degree in Finance, Economics, Accounting, Business, or a related field

Tools

Microsoft Excel

Microsoft Office

Job description

Russell Tobin is seeking a Financial Operations Analyst in Columbus, Ohio for a hybrid role supporting daily financial processes, data validation, reporting, and cross-functional collaboration.

The ideal candidate has a finance or related degree and 0–2 years of experience, with strong analytical and Excel skills. Recent graduates are encouraged to apply and internship experience is a plus.