Position Summary :
Our partner is a global manufacturing and services company modernizing its finance analytics foundation, replacing Excel with Power BI, integrating SAP ECC / S4 data, and building a scalable reporting layer across Finance. They’re looking for a finance-savvy Data Analyst to own core reporting and forecasting models, automating month-end close, building DAX-driven dashboards, and analyzing margin, spend, and cost structures at scale. You’ll partner closely with FP&A and work inside a BI team that’s moving fast on Databricks, Power Platform, and governed data modeling. If you’ve worked in ERP-heavy environments, understand financial reporting structures (CO-PA, cost centers), and build with both speed and structure in mind, this is a high-impact seat with strong visibility.
Experience and Education :
- Bachelor’s degree in Finance, Accounting, Economics, or a related field
- 5+ years of experience in FP&A, financial analysis, or data-driven Finance roles
- Experience working with ERP-based financial data (SAP ECC or S / 4HANA preferred)
- Background in manufacturing, distribution, or multi-entity environments
- Proven ability to partner with FP&A and cross-functional teams
- Hands-on history with month-end close, budget vs. actual tracking, or cost modeling
- Prior experience transitioning teams from Excel-based reporting to BI platforms
Skills and Strengths :
Power BIDAXSQLFinancial ModelingForecastingCost AnalysisVariance AnalysisMargin AnalysisSAP ECCSAP S / 4HANAPower QueryData VisualizationETLKPI DesignAd Hoc ReportingCO-PABudget TrackingExecutive ReportingStakeholder CommunicationAdvanced ExcelPrimary Job Responsibilities :
Automate and maintain Finance reporting workflows using Power BIBuild and refine forecast models across revenue, COGS, opex, and capexAnalyze gross margin and cost drivers (labor, freight, materials, overhead)Deliver standardized P&L, variance, and KPI dashboards used by FP&A and execs.Support the shift from Excel-based to governed, scalable BI toolsPartner with cross-functional stakeholders to translate financial needs into usable data outputsConduct ad hoc analysis to answer time-sensitive finance questions.Ensure consistency and quality of SAP-derived financial data used in reporting.Identify process gaps or reporting inefficiencies and drive improvements