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A leading global retail company is seeking a Business Analyst to join their Regulatory Intelligence team in Piemonte, Italy. The role involves creating automated reports, partnering with various teams to drive program success, and providing data support for different stakeholders. Candidates should have a Bachelor’s degree, experience with SQL, business insights, and data visualization tools. Competitive compensation and opportunities for growth are offered.
At Amazon, our goal is to be earth’s most customer-centric company and to create a safe environment for both our customers and our associates. We are looking for a talented Business Analyst to join the Regulatory Intelligence, Safety & Compliance Global Data & Analytics (RISC GDA) team. This role will be a key member of the Science and Analytics team, responsible for driving analysis and insights to help make meaningful business decisions. 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 customer experience, and providing timely data support for escalations to mitigate risk. 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, and 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 and good business acumen. 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. They have experience in working directly with large data sets, and will be required to make important decisions on defining, building, and scaling data processes and reports through directly with stakeholders and other data and tech professionals.
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