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트렌딩 기업

트렌딩 기업

채용

채용Amazon

Payroll Analyst - MX

Amazon

Payroll Analyst - MX

Amazon

Mexico City, DIF, MEX

·

On-site

·

Full-time

·

1mo ago

필수 스킬

Excel

Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer-centric company & to build a place where people can come to find and discover anything they might want to buy online. Amazon's Finance Operations, Accounting & Analysis team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. is seeking an Accounting Analyst to support our Accounting team.

The Accounting Analyst in this position will be responsible of month end closing activities for multiple accounts, preparation of monthly/quarterly/annually reconciliations. This position will be key in the support to Accounting Leadership in all aspects of financial accounting, reporting systems, procedures and policies. On controllership front, the Accounting Analyst will ensure all processes are compliance respective Accounting Standards. This position will also play an important role in promoting systems/process development within departments to ensure ongoing efficiency and control improvements.

The successful candidate will have a strong desire to innovate processes and exceed expectations in a dynamic, fast-paced environment.

Basic Qualifications

  • 1–2 years of hands-on payroll processing experience, including data entry, payroll runs, and reconciliation of payroll records
  • Familiarity with end-to-end payroll cycles (weekly, bi-weekly, or monthly), including timesheet validation, deductions, and net pay calculations
  • Basic knowledge of payroll tax withholdings, social security contributions, and statutory deductions applicable to local labor law
  • Ability to identify and escalate payroll discrepancies or errors in a timely manner Knowledge in SAP Payroll or equivalent
  • Proficiency in Microsoft Excel (formulas, pivot tables, data validation) and other MS Office tools
  • Ability to handle and maintain confidential employee compensation and personal data with discretion
  • Strong attention to detail and accuracy in data entry and record management
  • Good organizational and time management skills, with the ability to meet recurring payroll deadlines

Preferred Qualifications

    • Deep Knowledge of personal income tax legislation and labor law
    • Familiar with payroll software (SAP, Peoplesoft, Sharepoint, Workday, ADP software and T&A systems)

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.

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 · Data Analyst L2

0개 리포트

$108,330

총 연봉

기본급

$43,332

주식

$54,165

보너스

$10,833

$75,831

$140,829

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