Senior Business Intelligence Engineer
|Job Title:||Senior Business Intelligence Engineer|
|Job Published:||November 16, 2020 23:01|
· Master Amazon's BI, Retail, and Ops tools and systems such that you can meaningfully support process innovation using automation techniques · Engage stakeholders to convert business problems into analytical problems that can be solved with data, statistics, and scripting · Design, develop, and implement scalable, automated processes for data extraction, processing, and analysis · Mine data and work with business partners to come up with actionable data analysis to understand service usage, drive product and process improvements, and increase service-customer satisfaction · Develop new customer and product analysis insight to enable the business to take smart decisions for our customers and stakeholders · Analyze relevant internal and external information, and uncover trends and correlations to develop insights that can materially improve our product and strategy decisions · Build new and/or improve existing presentation layers using Cognos, Tableau, QuickSight or equivalent tools, including summary/aggregated/reporting tables for related program teams to enable self-service BI · Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives · Monitor and troubleshoot operational or data issues in the data pipelines and business-facing reports; review and audit existing ETL jobs and SQL queries · Create and maintain scalable and flexible infrastructure to support BI applications and platform
· Experience with MS Excel, Access and SQL/SAS · Experience designing and implementing custom reporting systems, in partnership with technical teams · Substantial professional experience in web analytics, business analysis or comparable analytics position · A desire to work in a collaborative, intellectually curious environment · Experience working with large-scale, complex datasets · Ability to draw insights from data and clearly communicate these to stakeholders and leaders · Real-world experience with data visualization tools such as IBM Cognos analytics, Business Objects, Tableau or QuickSight · Strong written and oral communication skills · Experience in gathering requirements and formulating business metrics for reporting · Ability to quickly adapt to changing priorities and generate innovative solutions in a fast-paced environment
· MBA or Master's degree in Computer Science, Finance, Mathematics, Statistics, or related analytical field · Strong SQL and Excel expertise to access and transform data into insights · Experience building/operating highly available, distributed systems of data extraction, ingestion, visualization and processing of large data sets · Experience with scripting tools (Python, R, Hive, Pig, etc) to create custom applications based upon analytical needs · Proven capability in statistical analysis (e.g. ability to conduct analyses using regression, significance tests, modeling, forecasting approaches, and related tools) · Demonstrated strength in data modeling, ETL and Data warehousing experience with Oracle, Redshift, PostgreSQL, etc · Experience working in a cloud infrastructure environment, ideally using AWS technologies like Data Pipeline, Redshift, Athena, S3, EC2, Quicksight, etc
Amazon is focused on protecting the health and safety of our employees while continuing to serve people who need our services more than ever. Regular testing on a global scale across all industries would both help keep people safe and help get the economy back up and running. But, for this to work, we as a society would need vastly more testing capacity than is currently available.
Unfortunately, today we live in a world of scarcity where COVID-19 testing is heavily rationed. Until we have an effective vaccine available in billions of doses, high-volume testing capacity would be of great help, but getting that done will take collective action by NGOs, companies, and governments.
For our part, Amazon has begun the work of building incremental testing capacity. Learn more on our blog: https://www.aboutamazon.com/news/operations/how-we-ramped-up-onsite-covid-19-testing-for-amazon-employees
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