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# Financial Audit Data Analytics and Process Lead - #01V2C

- **Company:** Monsanto
- **Location:** St. Louis, MO, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Microsoft Excel, Data Analysis, Computer Programming, Data Security, Data Visualization, Database Security, Oracle Databases, Systems Development Life Cycle, SAP (Applications), SAP Security, Service-Oriented Architecture, SQL Databases, Teradata SQL, Information Technology, Data Analytics, Spotfire
- **Published:** November 7, 2026
- **Apply:** https://www.agcareers.com/bayer/financial-audit-data-analytics-and-process-lead--01v2c-job-702776.cfm

## About the Role

Requires Masterâ??s in C.S. or closely-related field & 5 yrs experience designing integration patterns using Service-oriented architecture principles; programming in SQL; using data analytics tools, including Excel, Access, Spotfire & SAP; managing enterprise-scale IT systems & projects for a multinational company(ies), including project schedules, budgets and resources; implementing IT security best practices & policies for end-user security, change control, database security, systems development and maintenance, and privacy; installing SSL Certificates to ensure data security; writing & storing SQL scripts for Oracle databases; developing Teradata security solutions; writing Teradata queries; and performing Teradata schema configuration. Up to 15% US & intâ??l travel reqâ??d, Mail resume to Jill Martin, Monsanto Company, 800 N. Lindbergh Blvd. E1NH, St. Louis, MO 63167.

## Description

Financial Audit Data Analytics and Process Lead for St. Louis, MO to develop data analytics strategy, capabilities & tools for finance and audit functions; leverage data analytics to drive audit efficiency; manage data analytics IT projects; conduct data analysis from IT systems to support audits; develop scripts, procedures & queries to assist audit teams; deliver data visualization models; map data to risks & generate insights from data to support audits; train audit team members on data analytics.