Sr. Business Intelligence Engineer | Amazon.com Services LLC | 68,352 reviews

Local Jobs Amazon.com Services LLC in Software Development
  • United States, 68,352 reviews View on Map
  • Post Date : January 14, 2021
  • Apply Before : February 13, 2021
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Job Description

  • Bachelor’s degree in computer science, mathematics, statistics, economics, or other quantitative field
  • 5+ years of relevant work experience in a role requiring application of data modeling and analytic skills
  • Strong experience with ETL development, data modeling, data warehousing, tools such as MySQL, Tableau, and databases in a business environment with large-scale, complex datasets
  • Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required
  • Self-driven, with demonstrated ability to deliver on ambiguous projects as well as projects/requests where the underlying data is incomplete
  • Strong verbal/written communication and presentation skills
  • Experience in gathering requirements and formulating business metrics for reporting
  • Experienced working in a fast-paced, high-tech environment and comfortable navigating conflicting priorities and ambiguous problems

Amazon strives to be the world’s most customer-centric company, where customers can research and make informed buying decisions for a physical good or for a digital product. We set audacious goals and are looking for people who can help us reach and exceed them. This is an opportunity to join the Books team at Amazon in support of our mission to inspire readers around the world.

We are looking for an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer to play a key role in building critical data pipelines and analytics tools for the Books Author Follows team, which helps readers discover books by authors they love.

The ideal candidate will have excellent statistical and analytical abilities, outstanding business acumen and judgment, intense curiosity and strong technical skills. They are a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards and using visualization tools, while always applying analytical rigor to solve business problems.

You are right, a lot. You get a lot done. You work very efficiently and routinely to deliver the right things. You have a team-wide view of the analytical solutions that you build, and you consistently think in terms of automating or expanding the results.

The primary responsibilities of this role include:

  • Write high quality optimized SQL to retrieve and analyze data from relational databases (ex. Redshift, MySQL, S3, RDS)
  • Collaborate with other Business Intelligence teams to design and implement ETL data pipelines for extracting and analyzing billions of records from multiple databases.
  • Work closely with Data Engineers and business users to design clean and scalable data sources required for analytics and reporting.
  • Create user–friendly, repeatable reporting solutions to minimize ad hoc customer requests, which creates team thrash and a poor customer experience.
  • Define and develop business-critical metrics, reports, key performance indicators, and financials across all forecasting products that are consumable by a wide range of functions and levels.
  • MBA or Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field
  • Familiarity with supply chain management concepts including planning, forecasting and optimization gained through work experience
  • Expert in writing and tuning SQL scripts
  • Experience working in very large data warehouse environments
  • 5+ years of experience in a data engineer or BIE role with a technology company
  • Advanced capabilities with productivity software such as Excel and Access

 

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