Head of BI Engineering, Healthcare, Finance Operations, Global Data Analytics

Job Description

Locations

• United States, VA, Arlington, Arlington, VA, United States

Salary

Salary not disclosed

Skills Required

• - 5+ years of professional or military experienceintermediate
• - Experience programming to extract, transform and clean large (multi-TB) data setsintermediate
• - Experience with AWS technologiesintermediate
• - Experience in scripting for automation (e.g. Python) and advanced SQL skills.intermediate
• - Experience with theory and practice of information retrieval, data science, machine learning and data miningintermediate
• - Experience building measures and metrics, and developing reporting solutionsintermediate
• - Experience working directly with business stakeholders to translate between data and business needsintermediate

Required Qualifications

• - 5+ years of professional or military experience (experience, 5 years)
• - Experience programming to extract, transform and clean large (multi-TB) data sets (experience)
• - Experience with AWS technologies (experience)
• - Experience in scripting for automation (e.g. Python) and advanced SQL skills. (experience)
• - Experience with theory and practice of information retrieval, data science, machine learning and data mining (experience)
• - Experience building measures and metrics, and developing reporting solutions (experience)
• - Experience working directly with business stakeholders to translate between data and business needs (experience)

Preferred Qualifications

• - Master's degree in statistics, data science, or an equivalent quantitative field (degree in statistics)
• - Knowledge of data warehousing and data modeling (experience)
• - Experience managing, analyzing and communicating results to senior leadership (experience)
• 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. (experience)

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."

Documents

• Accommodations Information (web)
• https://www.aboutamazon.com/workplace/employee-benefits (web)

Application Instructions

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