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Description

Join one of Amazon's most impactful analytics organizations, empowering the world's largest Accounts Receivable and Payable departments through advanced data capabilities and real-time, actionable insights. Our Global Data Analytics (GDA) team is the trusted analytics partner for Finance Operations, providing data-driven solutions across global service centers and functions. We are custodians of data and metrics definitions, applying scientific methods to large-scale transactional processes.

We're seeking an exceptional Business Intelligence Engineering Manager to lead and develop our FinOps Healthcare Data and Analytics team. You'll drive engineering excellence in data visualization, pipeline development, and analytics solutions. You’ll identify, design and build automation solutions, using Artificial Intelligence (inter alia). In leading an global team of analytics professionals, you'll be a major contributor to business and process outcomes in the area of Healthcare Finance Operations.

Key job responsibilities

- Support the organization's strategic business objectives, process outcomes and decisions by analytical insights

- Collaborate with business leaders and users to understand requirements and optimize data-driven decision-making processes

- Provide reliable, accurate, timely reporting for operations activities and leadership decision making

- Lead a small, international team of analytics professionals

- Drive the design and implementation of complex, scalable, and high-performance data pipelines and models

- Collaborate cross-functionally with technology teams, such as data engineers and data scientists, to define and deliver BI solutions

- Build reports and dashboards using Amazon QuickSight

- Use advanced analytics techniques, such as statistical analysis and predictive modeling, to uncover hidden patterns, trends and opportunities

- Implement AI-powered self-service analytics tools

- Identify, evaluate, and implement automation opportunities, incl. AI technology; continuously enhance analytics while reducing manual effort

- Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership

About the team

Global Accounts Payable and Global Accounts Receivable are in charge of all AP and AR processes across Amazon's businesses and geographies. Global Data Analytics (GDA) provide data, analytics and insights to AR and AP. Our mission: "As trusted and business-focused analytics partners, we provide timely data, analytics, and insights across Service Centers (SCs) and global functions. We are custodians of data and metrics definitions. We apply science methods to large-scale transactional processes."

Basic Qualifications

- 5+ years of professional or military experience

- Experience programming to extract, transform and clean large (multi-TB) data sets

- Experience with AWS technologies

- Experience in scripting for automation (e.g. Python) and advanced SQL skills.

- Experience with theory and practice of information retrieval, data science, machine learning and data mining

- Experience building measures and metrics, and developing reporting solutions

- Experience working directly with business stakeholders to translate between data and business needs

Preferred Qualifications

- Master's degree in statistics, data science, or an equivalent quantitative field

- Knowledge of data warehousing and data modeling

- Experience managing, analyzing and communicating results to senior leadership

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.