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Home›Jobs›Amazon›Business Intelligence Engineer (L4), Amazon Payments
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

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Amazon

Business Intelligence Engineer (L4), Amazon Payments

Amazon • Bengaluru, Karnataka, IND

Posted 9 months ago🏛️ On-SiteMid-LevelBusiness intelligence engineer📍 Bengaluru
Apply Now →

Job Description

Amazon Payment team creates and manages a global portfolio of products, including co-branded credit cards, installment financing, third party redemptions, and financial services marketplaces. Within this team we are looking for a BIE specifically for supporting Japan Payment Products.
We are looking for a Business Intelligence Engineer with broad technical skills to build analytic and reporting capabilities to deliver on strategic analytical/reporting projects, define/produce end-to-end metrics that inform product, business, and marketing decisions and identify new growth opportunities through data-driven insights.

The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where data-backed insights drive value creation. An effective communicator, the candidate crisply translates analysis result into executive-facing business terms. The candidate works aptly with internal and external teams to push the projects across the finishing line. The candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team.



Key job responsibilities
Key job responsibilities
Core Responsibilities includes but not restricted to:
- Interfacing with business customers, gathering requirements and delivering complete BI solutions to drive insights and inform product, operations, and marketing decisions.
- Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling
- Evolve organization wide Self-Service platforms
- Building metrics to analyze key inputs to forecasting systems
- Leading complex analytical deep dives (Segmentation, A/B testing)
- Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation - - Bachelor degree in computer science engineering, economics, statistics, mathematics, econometrics, or a similar quantitative field
- - Demonstrated ability to interact with business customers, gather requirements and deliver complete scalable and sustainable BI solutions
- - 2+ years work experience in analytics field and working with relational Databases
- - Self-driven, and showcases ability to deliver on fast paced projects using extremely large data sets
- - Fluency in SQL, and deep understanding of ETL is a must.- Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills
- - Experience and ability to effectively gather information from multiple data sources and deliver on ambiguous projects with incomplete or dirty data
- - Knowledge and direct experience using business intelligence reporting tools such as Tableau/QuickSight
- - Experience working with redshift, Cradle or other AWS tools is a plus Hands On experience with Python, R is a plus

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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