Description Amazon Career Choice empowers employees to build skills for new careers at Amazon or elsewhere. This work begins by understanding which career paths are most in demand and viable to support through education and training experiences that can be completed while employees continue to work in their current roles. We currently offer nearly 50 different career options and 500+ schools to over one million eligible employees in 14 countries. For us, success is an employee completing an educational program and then being placed in a new job using the skills they learned through Career Choice. We are looking to expand our policy & strategy team to welcome someone who can dive deep into data about the future of work and bring insights forward to the big picture, answering the fundamental question of which future career paths we can build successfully for our employees. This role will have primary responsibility for collecting and curating data on labor market trends, industry hiring, and workforce evolution, making informed predictions about where the most essential skills and careers will create the most hiring opportunity. We expect that you come to the team with a background in quantitative analytics, research, and statistics, with prior applied experience in labor, workforce, or employment strategy or a parallel field (e.g., education, talent management, public policy). Comfort with AI tools and the ability to validate output is key. You will be providing guidance and support to program managers with portfolios covering diverse geographies and industries, helping them to optimize for the best employment outcomes we can achieve together. Key job responsibilities

• Identify and manage public and vendor-contracted data sources providing insights on hiring trends, labor demand, and in-demand skills
• Produce regular and ad-hoc analyses of that data for different industries, geographies, and employers
• Keep peers and senior leadership informed of trends showing both emerging needs and declining demand for high-velocity decision support around program offerings
• Analyze and share insights from program surveys to surface voice of customer issues for further investigation or intervention by program teams
• Analyze effectiveness of different educational programs against hiring requirements to indicate where different educational offerings may be required
• Prepare inputs for technical documents, white papers, and AI knowledge base/model training
• Coordinate with Central Science and other research teams for access to internal data and cross-team evaluation projects A day in the life Every day is different.

You might be working on integrating an external data source with our tech and product teams, drafting a document showing recent and projected trends in a particular industry, or helping the program teams isolate actionable insights and themes from individual opinions expressed in survey responses. About the team Our mission is simple: help people build careers they're excited about. We manage a network of 600+ educational partners and work directly with employers to create hiring pathways for graduates. We measure success not by enrollment, but by whether someone completes their program and lands a new job. We're a small, collaborative team that operates with a startup mentality inside a large company — moving fast, using data to make decisions, and constantly iterating on what works. You'll join a group of people who care deeply about workforce development and believe that access to education can change lives. Basic Qualifications

• Experience analyzing large datasets and communicating findings to stakeholders and senior leaders
• Experience in data analysis and extracting insights to make data-backed business decisions
• Can develop ad-hoc reporting to meet specific business needs
• Can communicate effectively with all levels of the organization
• 6+ years of program or project management experience in quantitative research or analytical sciences Preferred Qualifications
• Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
• Knowledge of analytics & statistical tools such as SAS, Power

BI, SQL & ETL DW

concepts 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.