Business Analyst, GFS - FP&A

Overview

- 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 - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders
Global Finance Solutions (GFS) is looking for a Business Analyst II (Level 5) responsible for the development and the implementation of Business Intelligence and analytics in the Finance functions. GFS is a finance department that manages the accounting, reporting and analysis work for global finance teams in Amazon. GFS FP&A services management-reporting activities, is a key contributor in planning, budgeting & forecasting activities, leverages data analytics and visualization to drive standardization & automation on projects, and develops plug and play tools for Finance teams. The business analyst is responsible for deriving deep insights about various business functions and driving continuous improvement using data. They should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root of the problems. They will work closely with program managers and business teams to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, scope out automation opportunities and most importantly work with different stakeholders to drive enhancement of existing processes over time. Key job responsibilities  Collaborate with Financial Analysts, BI Engineers and Business stakeholders to design, develop influence operational best practices for reporting and analytics  Bring an analytical and consulting mindset to look at existing processes, programs and develop strategies to improve business performance and mitigate risk  Ideate and develop analytics to spot trends & outliers, create scenarios and develop forecasts, generate insights through predictive analytics  Perform data related activities - data discovery, cleaning, engineering, analysis & visualization on multiple technology stacks, to improve operational & business outcomes  Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format  Participate in business requirements discussion and translate functional requirements into detailed systems design documents  Effectively communicate status, issues, and escalations to leadership and business stakeholders