Job
Description
The Business Analyst will be a part of highly visible, growth-oriented, and dynamic Finance Operations, Global Data & Analytics (GDA) team. This role will be instrumental in driving data-driven decision-making across our global finance operations, focusing on process optimization, financial analytics, and business intelligence solutions. The role will develop analytical solutions that empower one of the world s largest Accounts Payable and Receivable teams to operate at scale and resolve process defects by identifying and measuring them through advanced data analytics. The role will be a trusted analytics partner for our 2,000+ business partners across Finance Operations Headquarters and Service Centers and will be leading the data analytics products solutions across Accounts Payables and Accounts receivables. -Lead complex data analysis projects to identify operational efficiency opportunities and drive process improvements across global finance operations -Develop and maintain advanced financial models, dashboards, and reporting solutions to support strategic decision-making -Partner with cross-functional teams to gather requirements, analyze business processes, and implement data-driven solutions -Conduct thorough analysis of financial and operational metrics to identify trends, anomalies, and areas for optimization -Design and implement KPIs and metrics to measure operational performance and financial health -Create and maintain documentation for processes, methodologies, and analytical frameworks -Partner with Accounts Payables and Receivable leaders across Service Centers and Headquarters locations to identify, plan and execute on analytical opportunities to reduce defects and work drivers, improve goal performance, support new business expansion and operational analysis. -Use Tableau/QuickSight/SQL to deliver valuable insights, -Partner with stakeholders to align, thoroughly document, and govern metric definitions. A day in the life The Business Analyst will oversee building high-performing analytics products relying on SQL, Excel and Tableau / QuickSight. The role will business partner across global Finance Operations to become an expert in core business processes, and will work backwards to enhance metric governance, identify and action analytical opportunities, and leverage data to build compelling business cases that influence our operations. SQL skills (Intermediate / Expert level) is a must to deliver on Job 1 in this role. About the team Global Data Analytics (GDA) is in charge of all the Finance Operations reporting across Amazons businesses and geographies. GDAs mission is to be trusted and business-focused analytics partners, providing timely data, analytics, and insights across Service Centers (SCs) and global functions. We are custodians of data and metrics definitions. We apply science methods to large-scale transactional processes. Our vision is to empower the world s largest Accounts Receivable (AR) and Payable (AP) departments to deliver large scale business outcomes through advanced data capabilities and real time, actionable insights. 3+ years of tax, finance or a related analytical field experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders 3+ Years of working experience (Intermediate/Expert) in SQL Working with global stakeholders, across timezones Finance Operations, Order to Cash or Procure to Pay exposure is an added advantage Masters degree in Finance, Business Analytics, or related field Professional certifications (CFA, FRM, or similar) Experience with ERP systems (SAP, Oracle, etc.) Knowledge of machine learning and predictive analytics Experience working in a global, matrix organization Technical Skills Data Analysis & Visualization: SQL, Python/R, Tableau/Power BI Financial Modeling: Advanced Excel, Financial Statement Analysis Business Intelligence Tools: SAP, Oracle, or similar ERP systems Project Management: Agile methodologies, JIRA etc. Core Competencies -Excellence in stakeholder management and communication -Ability to translate complex data into actionable insights
