Description

You will drive efficiency across treasury operations through automated data pipelines and scalable automation solutions.

Responsibilities

• Design, develop, and maintain automated data pipelines, analytics workflows, and scalable automation solutions.
• Manage and analyze large-scale treasury and financial datasets to identify trends and enable data-driven decision making.
• Develop automation frameworks to streamline cash application, receivables, reconciliations, and financial reporting.
• Build dashboards, advanced data models, and automated reporting solutions for real-time KPI visibility.
• Perform data extraction, transformation, and integration using ETL processes across ERP and payment platforms.
• Implement automated reconciliation and control frameworks to improve data accuracy and reduce manual effort.
• Collaborate with Treasury, Accounting, FP&A, IT, and Data teams to lead digital transformation initiatives.

Required Skills

• 5+ years of experience in finance analytics, treasury operations, accounting analytics, or data analysis.
• Python
• SQL
• Power BI
• Power Automate
• VBA
• Excel
• Data Analytics
• ETL Processes
• RPA Tools

Preferred Skills

• Experience with RPA tools such as UiPath, Automation Anywhere, or Blue Prism.
• Experience with enterprise data platforms like Foundry, Snowflake, or data warehouses.
• Experience with API integrations, automated data ingestion, or system integrations.
• Exposure to advanced analytics, predictive modeling, or machine learning in finance.
• Experience with large-scale finance transformation or digital automation initiatives.
• Knowledge of R/SAS.
• Experience in Treasury Operations, Cash Management, or Financial Operations.

Key Skills

Education

Any Graduate