Revenue FP&A Analyst: Drive Growth with Data Insights

Chemical Abstracts Service; Columbus (OH); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Retirement plan

Generous vacation

Job summary

Chemical Abstracts Service (CAS), headquartered in Columbus, Ohio, is seeking a Finance Analyst to support Revenue FP&A through planning, reporting, and analysis. The role emphasizes ownership of key deliverables, driving data-driven insights, and partnering with Sales, Product Management, Marketing, and Revenue Operations to support top‑line growth.

The ideal candidate has 2–5 years of relevant finance experience, strong modeling and data skills, and proficiency with Excel, PowerPoint, and

Qualifications

• 2–5 years of relevant finance or analytical experience.
• Strong financial modeling and analytical skills, including large, complex datasets.
• Experience with MS Office applications (Excel, PowerPoint) and financial systems.

Responsibilities

• Own assigned components of Revenue Close, Current Month Projection, monthly Forecasts, Annual Planning, and Long-Range Planning.
• Analyze actuals vs forecast and identify drivers of variances; translate findings into insights and recommendations.
• Partner with Sales, Product Management, Marketing, and Revenue Operations to understand revenue drivers and opportunities.
• Leverage data tools (Workday, SAP, Snowflake, Tableau) to extract, validate, organize, and analyze data.
• Ensure accuracy and consistency across financial outputs through validation and attention to detail.
• Identify and implement process improvements to automate reporting.

Skills

Financial modeling

Data analysis

Multi-source data handling

Education

Bachelor's degree in Finance

Tools

Workday

SAP

Snowflake

Tableau

Excel

PowerPoint

Job description

Chemical Abstracts Service (CAS), headquartered in Columbus, Ohio, is seeking a Finance Analyst to support Revenue FP&A through planning, reporting, and analysis. The role emphasizes ownership of key deliverables, driving data-driven insights, and partnering with Sales, Product Management, Marketing, and Revenue Operations to support top‑line growth.

The ideal candidate has 2–5 years of relevant finance experience, strong modeling and data skills, and proficiency with Excel, PowerPoint, and