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Amazon
re you passionate about automation, designing processes, simplifying work and launching innovative products technology?
We are looking for a Big Data Application Engineering Manager who will lead a team of Big Data Application Engineers and have the ability to deep dive into systems and invent and simplify with a high degree of ownership.
Impact
Ever wondered how Amazon offers the Earth's biggest selection and still manages to offer lower prices every day to our customers? Our retail business teams work with a massive array of vendors and business financial performance metrics to expand selection and drive costs lower. Given the rapid growth of our business, this requires our category leaders, financial analysts, site merchandisers and vendor managers to quickly analyze vendors, categories and brands, diving deep into data showing business efficiency down to the unit sale level. The technology that enables this has huge visibility and impact and is critical to Amazon's continued profitability and growth.
Innovation
We're working on the future. If you are seeking an environment where you can drive innovation. If you want to apply state-of-the-art software technologies to solve real world problems. If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity. The responsibilities of this role will be key in paving the future of Amazon Retail and transforming how we do business.
Opportunity
You will be part of a team of creative, top-notch engineers who work hard, have fun, and make history.
This role is on the Chronicle team within Selling Partner Services. We own the Turismo product suite, which is powered by Ripple, a dynamic query engine. Turismo is a well loved product, with 15k+ users globally. Ripple is a PrestoDB based query engine that is built to scale, and processes 2M+ queries per week. We are a full stack team, with Product managers, UX designers, TPMs, SDEs, DEs and Data Scientists.
We are seeking a Business Analyst who Owns the We are seeking a Business Analyst who will own the comprehensive metrics framework and metadata repository, serving as the central point of accountability for metric definitions, relationships, and data quality across business domains. This role acts as the primary liaison between technical teams and business stakeholders, diving deep into customer inquiries to translate complex data questions into actionable insights while maintaining rigorous documentation of metric lineage and business context.
Key job responsibilities
Respond to customer questions across 12+ external and internal surfaces where Ripple metrics are used by Selling Partners and internal Amazonians, ensuring timely and accurate resolution of data inquiries
Develop deep expertise in the Ripple tech stack and conduct thorough deep dives into complex data issues, identifying root causes and providing comprehensive analysis
Write complex SQL queries and Python scripts to extract, transform, and analyze data from petabyte-scale data warehouses with a focus on query efficiency and performance optimization
Automate recurring deep dive analyses to enable customer self-service for frequently asked questions, reducing manual effort and improving response times
Own and maintain metadata in the Metric Knowledge Service (MKS), ensuring accuracy, completeness, and accessibility of metric definitions and relationships
Partner effectively with Product Managers and Selling Partners through excellent written and verbal communication, translating technical concepts into business language
Leverage expert proficiency in SQL, Excel, ETL processes, and data visualization tools (QuickSight, Power BI, or similar platforms) to transform raw data into actionable insights
Define business requirements and use data and metrics to draw meaningful insights that inform strategic initiatives
Manage large datasets while conducting advanced statistical analyses to support business decisions- 3+ years of business analyst, data analyst or similar role experience
- 5+ 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
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