Be an early applicantLess than 25 applicants

This job has closed.

Company

Original Job Post

Amazon Web Services (AWS) · 1 week ago

Business Intelligence Engineer

Dallas, TX

Full-time

Onsite

Mid Level

$90K/yr - $185K/yr

3+ years exp

Wonder how qualified you are to the job?

ComputerConsulting

Actively Hiring

Insider Connection @Amazon Web Services (AWS)

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Work directly with the models/data. Work with large data sets and the technical tools needed to work with them

Manage complex, manual, revenue routing processes to ensure revenue is reported accurately

Write high quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL). Build data models leveraging Python.

Work cross-functionally with billing to ensure revenue is flowing to the right customer accounts

Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes

Use analytical and statistical rigor to solve complex problems and drive business decisions

Drive towards simple, scalable solutions to difficult problems

Project-manage multiple workflows and communicate complex analytical results, both written and verbally

Work with key business stakeholders to understand requirements and shape analytical deliverables

Think strategically about business, product, and technical challenges, with the ability to work cross-organizationally

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data AnalysisData InterpretationRedshiftOracleNoSQLData VisualizationTableauQuicksightSQLDatabase ManagementScripting (Python)Data ModelingETL PipelinesData MiningETLMetrics DevelopmentForecastingStatistical AnalysisAWS SolutionsStatistical Tools RStatistical Tools SASStatistical Tools PythonCommunicationInterpersonalProblem-Solving

Required

Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

Experience with data visualization using Tableau, Quicksight, or similar tools

Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Experience with data modeling, warehousing and building ETL pipelines

Preferred

Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Experience with forecasting and statistical analysis

Experience with AWS solutions such as EC2, DynamoDB, S3, Redshift, Bedrock, and Lambda

Strong communication (verbal and written) and interpersonal skills to translate ambiguous business requirements into complex analyses and actionable insights

Experience with statistical tools, such as R, SAS, or Python

Benefits

Medical benefits

Financial benefits

Company

Amazon Web Services (AWS)

Glassdoor

3.8

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.

Founded in 2012

Seattle, Washington, USA

10,001+ employees