Job Title

Sr. Data Analyst – Finance #2525 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 BI DAX SQL Financial Modeling Forecasting Cost Analysis Variance Analysis Margin Analysis SAP ECC SAP S/4HANA Power Query Data Visualization ETL KPI Design Ad Hoc Reporting CO-PA Budget Tracking Executive Reporting Stakeholder Communication Advanced Excel Primary Job Responsibilities: Automate and maintain Finance reporting workflows using Power BI Build and refine forecast models across revenue, COGS, opex, and capex Analyze 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 tools Partner with cross-functional stakeholders to translate financial needs into usable data outputs Conduct 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