HR Specialist, Global Risk Intelligence

Amazon is hiring an HR Specialist, Global Risk Intelligence in London, United Kingdom. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this HR role Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include SQL, Excel and Tableau.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Leverage data analytics and insights to inspect hiring funnel health, mitigate staffing risks, and optimize talent operations.

SQLExcelTableau

data-analyticsrisk-managementreportingbusiness-analysis

WFS P&A (Workforce Staffing Product and Analysis) org is part of the People experience and Talent (“PXT”) organization. As a member of the PXT org, WFS (P&A) removes business complexity and mitigates staffing risk through data, insights, and science models. (P&A) helps build capabilities, defined as products, programs, reporting, and models, that generate insights to optimize staffing performance, labour planning, funnel throughput, and candidate placement. We are looking for someone with expertise in data analytics skills, strong business acumen, an ownership mindset and ability to clearly communicate. In this role, you will leverage our data to drive efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of business customers, in close partnership with business teams. This role is a part of the Global risk intelligence team and is accountable for the inspection of hiring funnel health to support tactical and strategic risk mitigation mechanisms. You will partner with WFS Central Teams, Agency Risk Specialists and WFS Business Management Execution (BME) team to deliver hiring insights and prioritized mitigations for short-, medium- and long-term hiring risk

This is an exceptional opportunity to learn and grow within a dynamic, fast-paced environment where innovation meets scale. You'll develop deep expertise in workforce analytics while contributing to mission-critical hiring operations that directly impact our ability to serve customers worldwide. The role offers extensive opportunities to demonstrate key leadership principles including Customer Obsession through candidate centric process improvements, Ownership by taking end-to-end responsibility for analytical deliverables, Dive Deep through comprehensive data analysis, and Deliver Results by providing actionable insights that drive hiring and operational success, whilst ensuring you have the ability to grow, learn and apply the latest tech skills.

Key job responsibilities
• Collaborate and works with multiple teams and is responsible for high impact to the bottom line and decision-making framework.
• This role requires solving complex business problems through discovery, development, pilot, reporting and execution of the said program. Needs to ensure a clear business requirement is gathered, project prioritized in the tech roadmaps and tested for scale and operational excellence.
• To build understanding of the business to come up with a solution for reoccurring issues and financial impact and the rigour of updates that help gain leadership trust.
• Strong business acumen with good judgement. Able to evaluate and make trade-offs short vs. long-term needs.
• Handle complex problems/efforts, decisions and escalations
• Skilled mediator, able to balance conflicting priorities and finds a path forward in difficult situations
• Knowledge and understanding of internal and external metrics, drivers and focus areas for the business and organisation.
• Comfortable using data and evidence to convey ideas and recommendations on complex topics that scale across regions.
• Adaptable and flexible to respond to the changing needs of the business while maintaining velocity
• An enthusiastic team player with a strong drive to create a positive work environment.
• Comfortable with high volume workload.

A day in the life
Within WFS (P&A), Global risk Intelligence (GRI) team leverages data, insights, and scientific models to streamline business processes and mitigate staffing risks. The GRI oversees Tactical and Strategic Risk Mitigation (TSM), utilizing various capabilities such as application demand analysis and marketing recommendations to support over 2,000 Amazon Workforce Staffing (WFS) sites globally. The team also collaborates with WFS and Worldwide Operations to plan financial incentives to mitigate hiring risk.
We work closely with leadership to:
1. Drive standardization across the network
2. Address a wide range of challenges, from strategic planning to real-time problem-solving
3. Adapt quickly to evolving business needs

Basic qualifications

- 3+ years of program or project management experience
- 3+ years of working cross functionally with tech and non-tech teams experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- Bachelor's degree
- Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)
- Experience defining program requirements and using data and metrics to determine improvements
- Speak, write, and read fluently in English

Preferred qualifications

- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules
- 3+ years of change management experience

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

HR Specialist, Global Risk Intelligence at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

HR Specialist, Global Risk Intelligence is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in GB, London.
The job was posted on August 17, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalyticsRisk ManagementReportingBusiness AnalysisSQLExcelTableau

Also common in HR jobs at this level

AI agents Computer vision AWS Machine learning Generative AI SQL

Pay

Typical HR job: $122k

This posting doesn't list pay. Use the typical HR figure when pay comes up. See HR jobs

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Tell me about a project where business analysis was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

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