Business Analyst, Financial Fraud

Overview

- 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 - 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience
Selling Partner Trust and Store Integrity (TSI) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners, vendors and Amazon from fraud, counterfeit, and abuse as well as providing world‐class support and building loyalty with Amazon’s millions of Selling Partners. The organization's north star vision is that bad actors cannot operate in our store while selling partners start and grow their business without fear of disruption, such that customers and selling partners across the globe trust us, and have confidence in the integrity of Amazon’s store. Our mission is that we build trust by protecting customers, selling partners (SPs), and our store from bad actors and ensuring SP business continuity by: (1) proactively discouraging and preventing bad actors from operating in our store, (2) eliminating financial incentives from engaging in fraudulent and abusive behavior; (3) improving our speed and accuracy to identify and action bad actors, while ensuring we don’t inadvertently disrupt SPs’ business; and (4) building best-in class experiences for SPs to sell in our store, understand and manage their business health, and remain compliant with Amazon’s policies and external regulations. Do you want to be at the forefront of engineering machine learning and big data solutions that revolutionize financial fraud detection? Are you excited by the prospect of analyzing large amounts of data to identify opportunities and prevent bad actors? Do you like to innovate and simplify? We are looking for experienced Business Analyst to join our Financial Fraud team. This role requires an individual with good analytical abilities as well as good business acumen and comfort with teams and systems. The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are good communicators, self-motivated, flexible, hardworking, and who like to have fun. Key job responsibilities An ideal candidate for this role: · Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies · Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide · Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format · Will be passionate about finding root causes, trends, and patterns and how they impact business. · Will draw inferences and conclusions, create dashboards and visualizations of processed data · Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately . Will be very comfortable juggling competing priorities and handling ambiguity . Will thrive in an agile and fast-paced environment on highly visible projects and initiatives 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. About the team Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to help each team member develop into a better-rounded professional.