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Home›Jobs›Amazon›Business Intel Engineer II, Litigation & Regulatory
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 Intel Engineer II, Litigation & Regulatory

Amazon • Arlington, Virginia, USA

Posted 6 months ago🏛️ On-SiteMid-LevelBusiness intelligence engineer📍 Arlington
Apply Now →

Job Description

Want to help Amazon tell its customer-centric story around the world? Are you smart and eager to raise the data and analytics bar in a highly cross-functional environment including economists, lawyers, scientists, public policy, public relations, and business teams? If yes, keep reading!

The Litigation & Regulatory team works with senior management to produce evidence and data to support legal and regulatory matters across all lines of our business worldwide, including retail, marketplace services, AWS, consumer experience, shopping and search, and operations. In this role, you will join a team of economists, engineers, and lawyers working to drive deeper understanding of Amazon and the benefits it delivers for customers and other businesses around the world.

As a Business Intelligence Engineer you will build new business intelligence solutions end-to-end, with opportunities to utilize data and develop new ways to answer a wide variety of questions. You will work with multiple stakeholders within and outside Amazon Legal to integrate data sources and create data infrastructures that will support advanced statistical and ML models. The successful candidate will be a self-starter comfortable with ambiguity, have a strong attention to detail, an ability to work in a fast-paced environment, and be driven by a desire to innovate in this space.

Key job responsibilities
• Interface with teams across Amazon to identify and analyze the right source of data to respond to a variety of high-impact issues and requests.

• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.

• Understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use with advanced analytical techniques to solve complex business problems.

• Write high quality code to retrieve and analyze data.

• Design, implement, and support a scalable and reliable infrastructure for Data Warehousing, BI, and Analysis using scalable and optimized techniques.

• Model data and metadata to support a variety of requests in litigation and regulatory matters.

• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to raise the bar on analytics within legal.

• Recognize and adopt best practices in reporting and analysis for data integrity, test design, analysis, validation, and documentation.

• Continually improve ongoing reporting and analysis processes, automating, or creating self-service options.

• Synthesize and translate complex findings into relevant and actionable insights.- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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