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Payroll Analyst - MX

Amazon

Payroll Analyst - MX

Amazon

Mexico City, DIF, MEX

·

On-site

·

Full-time

·

1mo ago

Required skills

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.

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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

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

4 data points

L2

L3

L4

L5

L6

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

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