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Do you want to work hard, have fun, and make history? We are seeking a creative, goal-oriented and highly technical person to join our exciting and fast-paced team. Our vision is to be the provider of the most innovative, secure and customer friendly payment options to customers in LatAm, providing access, driving engagement and increasing affordability through the value-added benefits and seamless experience that our products offer. We are looking for a dynamic and innovative BI Engineer that will enable Amazon Brazil growth through implementation and support of business intelligence solutions for payments products and programs. She/he will bring insights to the businesses teams and drivers for decision making, will support Payments Team growth by owning complex reporting and managing structural changes in tables and concepts. This role is both a strategic and hands-on role. It requires an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as good business acumen and the ability to work with quantitative and business teams. 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. In this role you will be responsible for solving complex and analytical challenges that produce critical business insights. The ideal candidate has a deep business acumen, an a deep analytical background with business understanding, and earns trust by delivering results. Key job responsibilities - Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use. - Work closely with the team to understand business challenges and provide data/analysis for better decision making. - Assist in the development of key metrics and performance indicators to measure overall performance and provide foundation for continuous improvement. - Build self-service reporting platforms, establishing automated processes for large scale data analysis. - Understand and write high quality queries to retrieve and analyze data. - Define analytical approaches and metrics strategy to uncover new insights and formulate recommendations that improve productivity. - Manage the local data infra-structure, as well as work with Global teams to assure data is consistent and accurate.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.