Business Intelligence Engineer, Intelligent Talent Acquisition
2 weeks ago
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. If you can seamlessly move across these various skillsets then you'll thrive in this role.
Key job responsibilities
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 team's work, this is the role for you.
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.
Basic Qualifications:
- 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
Preferred Qualifications:
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
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