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Mgr., Business Intelligence, P2 Science, Data, and Insights
7 hours ago
7+ years of business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
Are you looking for a role where you have the opportunity to shape Amazon’s Pricing and Promotions using data, analytics, and insights? If so, our role in Amazon's Pricing & Promotions Science, Data, and Insights organization is for you. Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly analytical Business Intelligence Manager. In this role, you will lead a team that develops, builds, and delivers automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for the Pricing and Promotions organization. This role requires a self-starting leader with high judgment that thrives in ambiguity and inspires their team. We are looking for an experienced leader with broad and deep analytical abilities, that is customer and delivery-focused, and a has a track record of earning your customers and peer’s trust. To be successful in this role, you will need a successful track record of leading analytics teams, strong business acumen and an entrepreneurial mindset. Key job responsibilities Lead the business intelligence and insights team for your employees, business, and its customers. Mentor and grow your employees. Develop, build, and deliver analytical reporting, models and business strategy. Lead deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership. Leverage LLMs to automate and generate Insights and drive growth discussions with Product teams. Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting. Continuously invent, simplify, and automate your teams' products, tools, services, and methodologies. Improving back-end data sources for increased accuracy and simplicity. Recognize and adopt best practices in reporting, analyses, data quality, and modeling.
- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
