About this Candidate
DAVRON CV: Candidate 3828486
FINANCIAL ANALYST | MANUFACTURING FP&A, ERP IMPLEMENTATION & DATA ANALYTICS
Core Expertise
- Manufacturing FP&A for high-volume plants: forecasting, month-end validation, and variance analysis.
- Led ERP implementations and migrations for SAP S/4HANA and Oracle, validating workflows and data integrity.
- Developed BI and analytics on Snowflake and Power BI, delivering cross-site operational visibility.
- Managed capital project portfolio, negotiating to recover $750K and preserve critical investments.
- Automated reporting and reconciliation using Power Automate, reducing manual work and accelerating close.
Project Background
- Built three Power BI dashboards tracking productivity, efficiency, and cost across 50 profit centers.
- Designed Snowflake-based data pipelines and automation to replace legacy Excel reporting processes.
- Led site-level ERP data migration and workflow configuration to eliminate manual reconciliation points.
- Managed capital approval routing and financial oversight for manufacturing projects during mid-year reductions.
- Standardized KPI calculations and corrected a long-standing material usage variance across multiple sites.
Key Skills
- Power BI (DAX | Power Query | Power BI Service) | Power Automate
- Snowflake | SQL | Python | R
- SAP S/4HANA | Oracle E-Business Suite | ERP data migration
- Tableau | Qlik Sense | Looker Studio
- Advanced Excel | Financial modeling | Forecasting
- Data pipelines | Data modeling | Statistical analysis
Education
- MBA, Financial Engineering — The Pennsylvania State University (in progress)
- B.A., Mathematics — State University of New York at Potsdam
Awards & Recognition
- Completed coursework: Databases & SQL for Data Science; Machine Learning with Python; Data Analysis with Python
Why Interview this Candidate?
A finance and analytics professional with hands-on manufacturing FP&A experience and proven BI delivery at scale. They combine ERP implementation expertise with strong SQL/Python and Power BI skills to improve reporting accuracy and automate reconciliation. Recommended for roles requiring cross-functional collaboration between finance, operations, and IT to drive measurable cost and productivity improvements.
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