Financial Systems Administrator

You will manage, maintain, and optimize our Oracle Cloud EPM (EPBCS) ecosystem while serving as the strategic bridge between our Financial Planning & Analysis (FP&A) organization and our centralized Data Engineering teams.

In our high-velocity, 5,000-location enterprise, financial accuracy is inextricably linked to operational data.

You will not only handle traditional EPM administration but also partner directly with data and operational teams to define technical requirements for integrating non-financial KPIs—such as location churn, new facility onboardings, occupancy rates, and transaction counts—directly from our data warehouse into our financial forecasting models.

The ideal candidate brings a strong grasp of EPM architecture, SQL data structures, and the communication skills required to translate complex operational metrics into actionable financial drivers.

7+ years of Oracle EPM (EPBCS/Planning) System Administration and development experience in a high-growth, multi-location enterprise

Strong knowledge of data integration tools (EPM Integration Agent, Data Management, EPM Automate) and deep understanding of dependencies between functional components of Oracle EPM

Oversee the end-to-end administration, configuration, and continuous optimization of the Oracle Cloud EPM suite (EPBCS)

Design, build, and troubleshoot Essbase ASO/BSO cubes to support large-scale operational scenario planning

Act as the primary technical translator between Finance and centralized Data/IT teams; partner with Data Engineering to define technical requirements, ensuring that data models in our data warehouse (e.g., Snowflake) are properly structured for seamless EPM ingestion

Collaborate with data teams to ingest high-volume non-financial KPIs (e.g., transaction counts, location churn) into EPM planning cubes

Troubleshoot integration workflows and perform root-cause analysis on data discrepancies using SQL and Python

Replace static calculation scripts with dynamic, context-aware logic to optimize system performance across thousands of sparse locations

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