热门公司

招聘

职位Amazon

Tax Manager, Tax EMEA Consumer

Amazon

Tax Manager, Tax EMEA Consumer

Amazon

Munich, BY, DEU

·

On-site

·

Full-time

·

1mo ago

必备技能

Python

SQL

Amazon EU seeks a Tax Analyst with German Tax Certification to support its European business operations. The ideal candidate will be able to work with a high level of collegiality, functioning as a tax adviser.
Primary duties include:

  • Work collaboratively with multiple stakeholders across the group to provide ongoing tax support to various Amazon businesses and to Tax Country Owners;

  • Analyze application of tax legislations on business operations and communicate to both tax and non-tax stakeholders;

  • Design, implement and maintain tax processes to ensure ongoing management of tax risks;

  • Monitoring development in the Tax legislation in different jurisdictions.

  • Key job responsibilities

  • Work collaboratively with multiple stakeholders across the group to provide ongoing tax support to various Amazon businesses and to different Tax Country Managers;

  • Effectively business partner to ensure business activities are consistent with the group´s European legal and operational structure;

  • Analyze application of tax legislations on business operations and communicate to both tax and non-tax stakeholders;

  • Design, implement and maintain tax processes to ensure ongoing management of tax risks;

  • Monitoring development in the Tax legislation in different jurisdictions.

Basic Qualifications

  • Knowledge of Microsoft Office products and applications at an advanced level
  • Experience working in a large public accounting firm or multi-national corporate tax department
  • Bachelor's degree
  • German Tax Certification (Stuerberater)
  • Knowledge of Microsoft Office products and applications at an advanced level
  • A minimum of 7 years of international income tax experience with a public accounting firm, major law firm, and/or in a multinational corporation

Preferred Qualifications

  • Experience with VBA, Python, SQL, or other database language
  • Experience of working with European tax laws;
  • AI tools knowledge

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

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.

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

关于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+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Venture Capitalist L2

0份报告

$154,235

年薪总额

基本工资

$61,694

股票

$77,118

奖金

$15,424

$107,965

$200,506

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge