Business Intelligence Engineer, Internal Audit - Data Analytics Support

Amazon.com • Arlington, VA

390d • $74,100 - $165,600

About The Position

Internal Audit's mission is to help our businesses improve controllership, operational efficiency, and customer experience. Amazon is seeking a Business Intelligence Engineer for our Internal Audit Data Analytics team that provides data analytics services and solutions to enable our audit programs to scale with Amazons growth and complexity. This is a highly visible opportunity to provide custom-build solutions and services that will increase the productivity of Amazons audit function using data.

Requirements

• Experience with SQL, including class projects, personal projects, research, prior internships, or volunteer work
• Experience with scripting language (e.g., Python, Java, or R)
• Experience applying basic statistical methods (e.g. regression) to difficult business problems
• Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
• Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)

Nice To Haves

• Bachelor's degree, or Master's degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis
• Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports

Responsibilities

• Operate in a consultative capacity, analyze the functions, objectives and requirements of organizations within the company, and translate business requirements into technical requirements.
• Identify and substantiate risks associated with business processes, policy, organization, procedures, and systems using data analysis and recommend remediation steps that reinforce business assurance.
• Seek out the correct data sources required and using ETL (Extract, Transform, and Load) methods to join, manipulate, and normalize the data into a consumable data set for testing and analysis.
• Determine the appropriate method of data collection and research methodology, analyze and interpret results into actionable testing solutions which are summarized for audit findings.
• Develop analyses & tools that will enable deeper analysis while increasing efficiency and effectiveness by reducing manual intervention while increasing sample sizes tested.

Benefits

• Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package
• Full range of medical, financial, and/or other benefits

What This Job Offers

• Industry: General Merchandise Retailers
• Number of Employees: 5,001-10,000 employees