Business Intelligence Engineer
Amazon
Business Intelligence Engineer
Amazon
Sells products online and rents cloud computing
Amazon is looking for a Business Intelligence Engineer to join the Production Planning Team. Are you passionate about big data and analytics? Does working in one of the world’s largest data environment excite you? Do you want to be a critical part of a high-growth business that is fundamentally changing an industry? Rapidly increasing data volume and complexity makes this a constant challenge and therefore an exciting place to work in!
The ideal candidate will not only raise the bar on retrieving and analyzing data but is a person who wants to be an active participant with a strong curiosity to understand the business end-to-end, proactively dive into issues as they arise, and has a track record of using data to influence decision makers. Moreover, a successful candidate will possess superb business judgment, is highly detail oriented, and is comfortable dealing with multiple priorities in a fast paced environment. Business Intelligence Engineers also continuously learn new systems, tools, and industry best practices to help design new studies and build new tools that help our team automate, and accelerate analytics.
Key job responsibilities
Responsibilities include:
· Simplify and automate reporting, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders.
· Improve back-end data sources for increased accuracy and simplicity.
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
· Understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.
· Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
· Support business with time-critical tactical data analyses.
A day in the life
Engaging with Product Managers, Scientists, Engineers, and Data Engineers on developing BI/analytics solutions for improving and automating the processes of Production Planning Team
Developing and improving the tools and reports for the business
Migrating existing visualization tools and dashboards to AWS ecosystem, test, deploy and train the users.
Identifying the opportunities to improve existing processes, providing more robust solutions for both business and tech (Business Intelligence and Data Engineers)
About the team
Our team includes BI and Data engineers, program and product managers who work together to define and implement projects for production planning team and their stakeholders.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
- Experience using Python scripting to process data for modeling
- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- 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
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
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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Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
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