Amazon's Intelligent Talent Acquisition (ITA) team is looking to solve complex hiring problems by reinventing the hiring process and delivering unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations.
Requirements
- 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
Responsibilities
- 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.
Other
- 3+ years of experience
- Passionate and curious about data, obsess over customers, love questioning the status quo, and want to see and feel a tangible impact to your team’s work
- Ability to seamlessly move across various skillsets
- Naturally curious and runs towards big challenges
- Degree requirements not specified, but equal opportunity employer
