Business Intelligence Engineer Intelligent Talent Acquisition

Do you want a role with deep meaning and the ability to make a massive impact Hiring top talent is not only critical to Amazons successit can literally change the world. It took a lot of great hires to deliver innovations like AWS Prime and Alexa which make life better for millions of customers around the world every day. As part of the Intelligent Talent Acquisition (ITA) team youll have the opportunity to reinvent the hiring process and deliver unprecedented scale sophistication and accuracy that Amazons Talent Acquisition operations need.

ITA is an industryleading people science and technology organization made up of scientists engineers analysts product professionals and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. Last year we delivered over 6 million online candidate assessments replacing the game of chance with a meritbased approach that gives candidates the chance to showcase their true skills. Each year we help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates in the right quantity at the right location and at exactly the right time. Youll work on stateoftheart research advanced software tools new AI systems and machine learning algorithms to solve complex hiring challenges. Leveraging Amazons inhouse tech stack built on AWS youll have the autonomy and flexibility to bring innovative solutions to life. One day we can bring these solutions to the rest of the world. Join ITA in using cuttingedge technologies to transform the hiring landscape and make a meaningful difference in peoples lives. Together we can solve the worlds toughest hiring problems.

The Rapid Insights team within ITA provides actionable insights to Amazon Recruiting and HR leaders to improve efficiency experience diversity and performance. Our recommendations shape Amazons hiring strategies. Business Intelligence Engineers (BIEs) apply technical expertise and leadership skills to build data sources analyze complex information and deliver insights that impact millions of prospective Amazonians worldwide.

Key job responsibilities
The Business Intelligence Engineer role in ITA is responsible for creating data modeling necessary to facilitate reporting and analytics acquiring new data sources and building out comprehensive data visualizations for stakeholders. This role is truly a jack of all trades; it will be part process improvement part analytics part data modeling and part strategic design. The role requires a uniquely gifted analytics expert who is naturally curious and runs towards big challenges. If you are passionate and curious about data obsess over customers love questioning the status quo and want to see and feel a tangible impact to your teams work this is the role for you. If you can seamlessly move across these various skillsets then youll thrive in this role.

Key Responsibilities Include:
* Solving complex business problems with simple analytical reports dashboards visualizations and analyses.
* Partnering with our Data Engineering and Data Science teams to design build and measure data models and metrics using data driven tools.
* Building out comprehensive metrics to measure operational health then demonstrate continuous improvement within these metrics.
* Being the voice of your customers; communicate the needs of candidates associates and staffing coordinators to your stakeholders via the data

About the team
The Intelligent Talent Acquisition (ITA) team supports the Amazon Talent Acquisition (ATA) organization by transforming data into insights on hourly associate and corporate hiring within Amazon. While ATA is responsible for the management of the hourly and corporate talent supply chain the ITA team in particular focuses on defining analytics that measure the performance of the program. While we continue to work on metrics that help monitor the health of the program we also spend efforts on identifying efficiencies in the process path through the power of data and predictive analytics.

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 largescale complex datasets

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.