47 applicants

Company

Original Job Post

Amazon · 6 days ago

Business Intelligence Engineer

Atlanta, GA

Full-time

Onsite

Mid Level

$80K/yr - $185K/yr

4+ years exp

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Insider Connection @Amazon

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

Responsibilities

You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts.

You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.

Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership

Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders

Simplify and automate reporting, audits and other data-driven activities

Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights

To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

Learn new technology and techniques to meaningfully support product and process innovation

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.

SQLData VisualizationTableauQuicksightProblem-SolvingAdaptabilityContinuous LearningAWSData MiningETLDatabasesPredictive ToolsOptimization ToolsQuantitative Techniques

Required

At least 4+ years of experience using SQL to query data from databases/data warehouses/cloud data sources/etc. (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.)

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

Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field

Ability to operate successfully and independently in a fast-paced environment

Comfort with ambiguity and eagerness to learn new skills

Preferred

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

Experience with creating and building predictive/optimization tools that benefit the business and improve customer experience

Experience articulating business questions and using quantitative techniques to drive insights for business

Experience in dealing with technical and non-technical senior level managers

Benefits

Medical benefits

Financial benefits

Company

Amazon

Glassdoor

3.7

Amazon is a global tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Founded in 1994

Seattle, Washington, USA

10,001+ employees

https://amazon.com

H1B Sponsorship

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2020 (14558)