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トレンド企業

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求人Ford

Global Sales Reporting Data Specialist

Ford

Global Sales Reporting Data Specialist

Ford

Budapest, Kozep-Magyarorszag, Hungary, HU

·

On-site

·

Full-time

·

3d ago

Ford Business Solutions is looking for a

Global Sales Reporting Data Specialist to join our Marketing & Sales

Team* in our ***Budapest, Váci Greens office.Required knowledge and skills:

  • Alteryx, Power BI and other business analytics tools knowledge
  • Ease of handling complex data through Excel
  • Basic Python knowledge is a major advantage
  • Basic knowledge and interest in familiarizing with software pipeline such as GitHub is an advantage
  • Interest in automotive industry/motoring
  • Ability to quickly learn, adapt and deploy knowledge
  • Drive for results and strong analytical skills
  • Curiosity, attention to detail, accuracy
  • Able to interact across skill teams
  • Persistence and ability to co-operate remotely across continents and cultures
  • Fluent English, both written and spoken
  • Two-way working flexibility to suit the global nature of the role
  • Working hours: 40 hours / week

**What will wait for you at Ford:

  • Being part of a fully supportive, collaborative, and dynamic team
  • Continuous challenges & great opportunities contributing to your professional development and next career step at one of the largest automaker company in the world
  • Hybrid working model with 4 days on-site
  • Cafeteria – Benefits package
  • As you will join a car sales company you can use your discount for used car purchase and you can have the chance to try even the most recent models during test driving days

Please note that we currently run background checks as part of our recruitment process pending a successful interview.

**Location:

Budapest, Váci Greens 13th district

Getting curious about this opportunity? We would love to tell you more. Stay connected with us and apply.

What will be your roles and responsibilities in the team?

Global Sales Reporting team’s role is to provide timely and accurate reporting to Global Leadership in Dearborn, USA.

Main purpose of the position is to act as the data gathering and processing expert of Global Sales Reporting, provide support for the LL6 manager and analytical assistance to the Global Sales and Allocations manager.

Major responsibilities:

  • Take ownership of Global Sales and Production Program’s Nameplate data retrieve and related reporting tasks
  • Familiarize with sales and production program consolidation data flow, improve and automate processes, including Alteryx to Python migration
  • Support data maintenance and preparation for cloud deployment, including data feed towards LLM assistants
  • Engage in both regular (weekly/monthly) report preparations as well as support ad hoc requests
  • Monitor data accuracy and track down disconnects
  • Improve data visualization quality through Power BI
  • Explore and potentially leverage other tools in the existing software portfolio of the Company.
  • Understand data packaging for Global Leadership requirements
  • Co-operate and establish cross-functionality with a team of data analysts

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模擬応募者数

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スクラップ

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Fordについて

Ford

Ford

Public

The Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.

10,001+

従業員数

Dearborn

本社所在地

$48B

企業価値

レビュー

3.3

10件のレビュー

ワークライフバランス

3.8

報酬

3.5

企業文化

2.8

キャリア

2.2

経営陣

2.5

45%

友人に勧める

良い点

Good benefits

Good work-life balance

Strong management support/respect

改善点

Poor/terrible management

Limited career growth opportunities

High turnover

給与レンジ

21件のデータ

Mid/L4

Senior/L5

Mid/L4 · ADAS Data Analytics Engineer

1件のレポート

$132,847

年収総額

基本給

$102,190

ストック

-

ボーナス

-

$132,847

$132,847

面接体験

3件の面接

難易度

3.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 67%

ネガティブ 33%

面接プロセス

1

Application Review

2

Phone Screening

3

Technical Interview

4

Team Interview

5

Offer

よくある質問

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm