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Principal Business Analyst - AMZ9614959

Amazon

Principal Business Analyst - AMZ9614959

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$142,800 - $142,800

Benefits & Perks

Professional development budget

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

Flexible work arrangements

Team events and activities

Learning

Equity

Healthcare

Flexible Hours

Required Skills

React

Python

PostgreSQL

MULTIPLE POSITIONS AVAILABLE:

Employer: AMAZON.COM SERVICES LLC
Offered Position: Principal Business Analyst
Job Location: Seattle, Washington
Job Number: AMZ9614959

Position Responsibilities:

Support senior management by managing metrics reporting and performing data mining and big data analysis to provide strategic advice on business forecast models. Collect business use cases, research and evaluate opportunities to help Amazon Devices leverage its data to support business functions through complicated mathematical modeling. Analyze forecast and metrics data. Automate reports for promotional and project launch campaigns. 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.

Position Requirements:

Master's degree or foreign equivalent degree in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered or as a Business Analyst, Business Intelligence Engineer, Data Engineer, Data Miner or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of progressive post- baccalaureate 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): (1) using database technologies, including SQL, ETL or Oracle; (2) processing large, multi-dimensional datasets from multiple sources; (3) developing automated reporting using advanced MS Excel skills including macros and erlang knowledge.
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
40 hours / week, 8:00am-5:00pm, Salary Range $142,800/year to $193,200/year.
Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit:
https://www.aboutamazon.com/workplace/employee-benefits.#0000

Basic Qualifications

Position Requirements:

Master's degree or foreign equivalent degree in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered or as a Business Analyst, Business Intelligence Engineer, Data Engineer, Data Miner or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of progressive post- baccalaureate 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): (1) using database technologies, including SQL, ETL or Oracle; (2) processing large, multi-dimensional datasets from multiple sources; (3) developing automated reporting using advanced MS Excel skills including macros and erlang knowledge.#0000

Preferred Qualifications

Please see job description and the position requirements above.
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

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

L2 · Product Designer L2

0 reports

$163,720

total / year

Base

$65,488

Stock

$81,860

Bonus

$16,372

$114,604

$212,836

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge