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Description

Internal Audits 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.

As a Business Intelligence Engineer, you will work on audit engagements to help with data analytics in various audit phases, provide training to auditors on data analytics tools and technology, set up data infrastructure for working with data, and create dashboards. You will work closely with Amazon businesses and functions to assess audit requirements for data analytics. You will have a relentless focus on the customers and dive deep into the challenges they face. You will also leverage machine learning and statistical techniques for advanced use cases.

This position requires that the candidate selected be a US citizen.

Key job 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.

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | Boston, MA, USA | Jersey City, NJ, USA

Basic Qualifications

• Experience with scripting language (e.g., Python, Java, or R)

• Experience applying basic statistical methods (e.g. regression) to difficult business problems

• Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)

• Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)

Preferred Qualifications

• Bachelor's degree

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

• Experience with statistical analysis, co-relation analysis

• Knowledge of data modeling and data pipeline design

• Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $74,100/year in our lowest geographic market up to $165,600/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.