Amazon Web Services, Inc.
Operations, IT, Support Engineering, Business Intel Engineer, finance
BusinessIntelligenceEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Business Intelligence Engineer at Amazon Web Services, Inc.. Skills: SQL, ETL, Data wrangling, Data visualization. Gather requirements. Deliver data analytical solutions”
What You'll Achieve.
Drive key business decisions; Drive outcomes
Industry & Context.
Answer business questions; Drive outcomes
What They're Looking For.
Must Have
5+ years of SQL, ETL or Oracle experience, Experience with data visualization using Tableau, Quicksight, or similar tools, Bachelor's degree or equivalent in Finance, Business, Economics, Mathematics, or other highly quantitative fields, Experience with data modeling, warehousing and building ETL pipelines, Experience in Statistical Analysis packages such as R, SAS and Matlab, Experience using SQL to pull data from a database or data warehouse, Scripting experience (Python) to process data for modeling
Nice to Have
Experience working directly with business stakeholders to translate between data and business needs, Experience managing, analyzing and communicating results to senior leadership, Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift, Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
What You'll Do.
Deliver data analytical solutions
Understand business goals
Drive business decisions
Recognize best practices
Drive data democratization
Enable self-serve data needs
How You'll Work.
Team & Collaboration
Partner directly with customers
Communication Scope
Communicate results
Full Job Description
The AWS Regions Finance team has a broad range of responsibilities from driving existing business performance to recommending INTL infrastructure expansion. We operate across the full P&L to identify risks and opportunities. We push the boundaries of how to measure and manage the AWS business, inventing metrics and using our platform to align L10+ leaders on controllable inputs. We are looking for someone who's an expert with SQL, ETL and, more generally, data wrangling. A track record of moving fast to adopt GenAI tools with a passion and proven ability to teach others are required. The successful candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. In this role, you will need to deeply understand the business and will be expected to partner directly with customers to answer key business questions and drive outcomes. Key job responsibilities Key job responsibilities - Work with business customers to gather requirements and deliver complete data analytical solutions - Learn why customers are asking for data and what their underlying questions and business goals are - Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions - Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation - Drive data democratization throughout the organization, enabling others to self-serve their data needs Basic Qualifications: - 5+ years of SQL, ETL or Oracle experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Bachelor's degree or equivalent in Finance, Business, Economics, Mathematics, or other highly quantitative fields - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data war
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