Job Description
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.
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.
A day in the life
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.
Basic qualifications
- 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 working with internal and external stakeholders.
- Handle competing priorities in a fast-paced environment.
- 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)
Preferred qualifications
- 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.
- Experience in AWS or other cloud services.
- Consulting, advisory, or related client service experience.
PR: $45 - $50
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .
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Skills and Requirements
Day to Day:
- Varies depending on phase of audit they are supporting
- Likely attending business calls (1 or 2) if not with business will be meeting with audit team
- Learning new area of the business (learn new area > once risks identified > move to testing > if in testing phase (complete independent testing) > share with customers > move back and forth)
- Independent work, but also have calls with business (team calls)
- Lots of face time null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to .