Business Analyst II, NL

Overview

- 3+ years of tax, finance or a related analytical field experience - 3+ 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 - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience with Excel - Experience with SQL - Experience making business recommendations and influencing stakeholders
This role will be a key member of the Amazon shipping business vertical, responsible for driving analysis and insights to help make meaningful business decisions. As a Business Analyst, you will focus on improving the success within business functions by analyzing data, discovering and solving real world problems, building metrics and business cases to improve shipper/operator experience, and providing timely data support for escalations to mitigate risk. We are focused on your success and want to build future leaders within Amazon. A key component of the role is to identify process and system improvement opportunities by developing the right metrics, analyzing data, and partnering with internal teams. In addition, you will design and develop automated reporting solutions to enable stakeholders to manage the business and make effective decisions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate in this space. Key job responsibilities • Data Analysis and Insight Generation : Engage in advanced data analysis to uncover trends and correlations. Utilize statistical methods and tools to drive insightful recommendations for business strategies and process improvements. • Reporting and Dashboard Development: Develop automated reports and interactive dashboards using BI tools like Tableau, QuickSight, PowerBI. Focus on creating user-friendly and efficient data visualizations to support business decisions. • Stakeholder Collaboration and Communication: Work closely with stakeholders across various departments including program, product, and tech teams. Communicate complex data insights effectively and implement optimal communication mechanisms based on stakeholder needs. • Data Mining and Query Optimization: Perform data mining from a variety of sources. Write efficient queries with minimal post-processing needs, handling large datasets, and ensuring data fidelity through triangulation techniques. • Process Improvement and Automation: Continuously improve and scale data processes. Lead initiatives for full-scale automation in collaboration with data engineering teams, enhancing data accuracy and operational efficiency. • Training, Mentorship, and Cross-Functional Leadership: Provide training and mentorship in data analysis and BI tool usage to internal team members. A day in the life As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement.