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트렌딩 기업

트렌딩 기업

채용

채용Amazon

Intern - Economics, Ads Marketing Finance, Ads Marketing Finance

Amazon

Intern - Economics, Ads Marketing Finance, Ads Marketing Finance

Amazon

Seattle, WA, USA

·

On-site

·

Internship

·

2w ago

We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to apply their causal inference and/or structural econometrics skillsets to solve real world problems. The intern will work in the area of Ads Marketing and develop models to understand differential impacts of changing promotional ads credits on sellers and advertiser behavior.

Our PhD Economist Internship Program offers hands-on experience in applied economics, supported by mentorship, structured feedback, and professional development. Interns work on real business and research problems, building skills that prepare them for full-time economist roles at Amazon and beyond. You will learn how to build data sets and perform applied econometric analysis collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.

These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis.

About the team
The Amazon Advertising finance department works closely with the business teams to analyze advertiser insights, validate financial results of investments and advertising product growth initiatives, and drives controllership across the organization.

In this role, your goal is to understand the impact of changing ads credits on sellers and advertisers behavior (e.g. acquisition, retention, growth, etc.) as well as using this information to optimize our credit program and maximizing long term-value.

Basic Qualifications

  • Knowledge of and proficiency in the use of Python scripting language
  • Knowledge of statistical or econometric modeling

Preferred Qualifications

  • Knowledge of SQL

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.

The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

USA, WA, SEATTLE - 129,200.00 - 174,700.00 USD annually
USA, WA, Seattle - 129,200.00 - 174,700.00 USD annually

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Amazon 소개

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+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

2.9

10개 리뷰

워라밸

2.8

보상

3.7

문화

2.5

커리어

2.3

경영진

2.1

35%

친구에게 추천

장점

Good pay and compensation

Strong benefits package

Flexible scheduling options

단점

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

연봉 정보

4개 데이터

L2

L3

L4

L5

L6

L2 · Venture Capitalist L2

0개 리포트

$154,235

총 연봉

기본급

$61,694

주식

$77,118

보너스

$15,424

$107,965

$200,506

면접 경험

10개 면접

난이도

3.7

/ 5

소요 기간

21-35주

합격률

20%

경험

긍정 10%

보통 10%

부정 80%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge