Financial Analyst
Job in
Columbus, Muscogee County, Georgia, 31900, USA
Listed on 2026-08-08
Listing for:
Doist
Full Time
position Listed on 2026-08-08
Job specializations:
-
Finance & Banking
Financial Reporting, Financial Analyst, Financial Compliance
Job Description & How to Apply Below
We are looking for a highly organized and detail-oriented finance professional with 3+ years of experience in FP&A or financial controlling to support our FP&A team. The role requires strong ownership of reporting deliverables and transactional quality control, with advanced Excel/Google Sheets and PowerPoint skills to drive management reporting, AP process and ensure high data quality. The ideal candidate demonstrates exceptional attention to details, strong communication skills, and the ability to consolidate and analyze data from multiple systems, detect issues, and convert numbers into clear insights for management.
Responsibilities- Work closely with Accounting, Reporting, Tax and Financial Controllers to support the monthly management reporting close by cleansing, validating, and consolidating data from diverse sources (ERP, procurement system, and cross-functional inputs).
- Own procure-to-pay monitoring for assigned entities: track requests/payments, resolve issues, and ensure complete audit/tax/reporting documentation through rigorous compliance checks (contract terms, allocation, classification) in coordination with process stakeholders.
- Maintain financial data integrity across complex Google Sheets models, ensuring critical financial data is accurate and accessible for the wider Finance team.
- Build high-quality reports and presentations for leadership (PowerPoint storytelling, dashboards, clear takeaways).
- Partner with stakeholders across the business to gather timely inputs for short‑term forecasting cycles.
- Prepare supporting calculations (e.g., intercompany charges) and incorporate them into reporting and forecasting to support financial decision‑making.
- Proactively optimize processes by identifying data "pain points" and support implementation of scalable solutions to continuously improve data quality and reporting efficiency.
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