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Business Intel Engineer III - AMZ26186.1

RoleData Engineering
LevelMid Level
LocationHerndon, Vatican City, United States
WorkOn-site
TypeFull-time
Posted4 weeks ago
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Employer: Amazon Data Services, Inc.
Position: Business Intel Engineer III
Location: Herndon, VA

Multiple Positions Available:

Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts. Research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions through complicated mathematical modeling. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization. Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.

(40 hours / week, 8:00am-5:00pm, Salary Range $170872 - $176300)

Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Basic Qualifications

Master’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.

Preferred Qualifications

All applicants must meet all the above listed requirements.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

$1.5T

Valuation

Reviews

10 reviews

3.4

10 reviews

Work-life balance

2.5

Compensation

4.2

Culture

3.0

Career

3.8

Management

2.7

65%

Recommend to a friend

Pros

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

Cons

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

Salary Ranges

4 data points

L2

L6

L3

L4

L5

L2 · Data Analyst L2

0 reports

$108,330

total per year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview experience

6 interviews

Difficulty

4.0

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 17%

Negative 83%

Interview process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge