Senior Data Analyst

Sr. Data Analyst – Finance #2525Position 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 field5+ years of experience in FP&A, financial analysis, or data-driven Finance rolesExperience working with ERP-based financial data (SAP ECC or S/4HANA preferred)Background in manufacturing, distribution, or multi-entity environmentsProven ability to partner with FP&A and cross-functional teamsHands-on history with month-end close, budget vs. actual tracking, or cost modelingPrior experience transitioning teams from Excel-based reporting to BI platformsSkills 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 execsSupport 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 questionsEnsure consistency and quality of SAP-derived financial data used in reportingIdentify process gaps or reporting inefficiencies and drive improvements