Minimum Qualifications: Bachelor's degreeExperience in writing SQL queries and creating business intelligence reports using Tableau, Power BIExperience defining requirements and using data and metrics to draw business insightsExperience with ExcelExperience making business recommendations and influencing stakeholders5+ years professional experience in analytics, business analysis or comparable consumer analyticsBusiness proficiency in speaking and writing in English The Trustworthy Shopping Experience team is looking for a senior business analyst to help us protect our customers from defective, dangerous products and guarantee them a worry-free shopping experience. Are you a self-starter who is comfortable handling complex data sets and working through ambiguity? If so, this role is for you!
Key Job Responsibilities: In this role you will use your passion for data to generate actionable insights through the development of metrics, dashboards and deep dive analyses. You will track existing and emerging abuse vectors, generate actionable insights, define and implement new initiatives, and quantify our progress using metrics. You dive into the details of the business metrics and provide insight within the team to assess, prevent, and predict e-commerce risk. You will collaborate with partner teams to define metrics to measure the success of our processes and initiatives, develop scalable reporting solutions, and provide objective and tangible data that allows the team to identify improvement areas, make informed decisions, and monitor efficiency of our policies and strategies. You will do this in partnership with other Amazon teams including program, product, and partner data teams across the world, hence cross-team coordination and collaboration skills are essential.
A Day in the Life: You track and publish our business metrics, partner with the internal program teams to identify root-causes of spikes or plummets in key metrics while carrying on mid-term to long-term projects to improve our policies, processes and tools and communicating with data science/engineering teams.
About the Team: Inclusive Team Culture: Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching tens of thousands at chapters across the globe. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Harmony: Our team puts a high value on work-life harmony. 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 believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We encourage and empower you to find your own balance between your work and personal lives.
Additional Qualifications: Team player who enjoys collaborating in a diverse team across locations and culturesCreative ability to display complex data in a simple, intuitive formatAdvanced working knowledge of data mining using SQL, ETL processes and ExcelKnowledge of at least one programming language (Python, R, Java, C++, Haskell or similar)Experience working in product catalog, brand protection, risk management, or fraud teamsExperience collaborating with machine learning models and data science teamsBusiness Proficiency in one of the following languages: French, German, Spanish, Italian, or ArabicMaster's Degree Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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