134 applicants

Company

Amazon · 3 days ago

Business Intelligence Engineer, Amazon Flex

New York, NY

Full-time

Onsite

Mid, Senior Level

$90K/yr - $185K/yr

5+ years exp

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Responsibilities

Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs for forecasting and pricing

Use analytical and statistical rigor to solve complex problems and drive business decisions that will help us achieve our strategic goals.

Write high quality SQL code to retrieve and analyze data from database tables (primarily Redshift), and learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.

Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.

Perform statistical data analysis and model design using Python, R, SAS and Matlab.

In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis support as needed. The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross functional teams, and an ability to work in a fast paced and ever-changing environment.

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.

SQLPythonAWS technologiesData analysisStatistical analysisMachine learningData miningData visualizationBusiness acumen

Required

5+ years of professional experience

5+ years of SQL experience

Experience programming to extract, transform and clean large (multi-TB) data sets

Experience with theory and practice of design of experiments and statistical analysis of results

Experience with AWS technologies

Experience in scripting for automation (e.g. Python) and advanced SQL skills.

Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred

Experience working directly with business stakeholders to translate between data and business needs

Experience managing, analyzing and communicating results to senior leadership

Benefits

Equity

Sign-on payments

A full range of medical, financial, and/or other benefits

Company

Amazon

Glassdoor

3.7

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

Founded in 1994

Seattle, Washington, USA

10001+ employees

https://amazon.com

H1B Sponsorship

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Trends of Total Sponsorships

2023 (14000)

2022 (23375)

2021 (15334)

2020 (14558)