Business Intelligence Engineer, Intelligent Talent Acquisition
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Similar to its twin listing, this role emphasizes impactful data utilization in transforming the hiring landscape.
- Role focused on transforming hiring through data
- Innovative use of new AI solutions
- Significant growth opportunities in a tech-driven environment
- Collaboration with diverse teams to improve hiring procedures
Pros
- Enjoy the opportunity to redefine recruitment strategies.
- Work with cutting-edge AI technologies.
- Impact the experience of thousands of candidates.
Cons
- Expectations for quick results may be challenging.
- The breadth of tasks may lead to overwhelming complexities.
- Requires ongoing adaptation to fast-paced changes.
Who it's for
Mid-Level • Onsite/Remote Hybrid
Good fit
- Professionals focused on HR analytics
- Data-driven individuals interested in recruitment advancements
- Innovators aiming to redefine the hiring landscape
Not recommended for
- Candidates without data-driven experience
- Those averse to technological integration in HR
- Individuals seeking a conventional hiring approach
Motivation fit
Key skills
About the job
DESCRIPTION
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.
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.
