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트렌딩 기업

트렌딩 기업

채용

채용Amazon

Planning & Forecasting Manager, IN Value Added Services

Amazon

Planning & Forecasting Manager, IN Value Added Services

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

3w ago

필수 스킬

SQL

Excel

Project Management

The Amazon VAS team is looking for an entrepreneurial, analytical and motivated Planning & Forecasting Manager (PFM) to join our team to forecast and track category wise service supply. PFMs play a critical role in delivering the ideal customer experience, ensuring we have the right supply, in the right places, at the right time and removes inefficiencies in the supply chain. To achieve this mission as cost effectively as possible, PFMs work to continuously optimize our end-to-end supply chain, engaging with internal and external stakeholders to improve operational performance metrics, and driving automation. PFMs own the operational components of the P&L, and are responsible for setting and executing operational strategies to optimize margins and inventory health.

A day in the life
PFM will have high level responsibility covering the below mentioned capabilities and skills. ( a) Customer experience: PFM manages inputs that impact seller and customer experience. An ideal candidate understands end-to-end supply chain workflows and tailors best practices to meet business requirements, identifies key metrics to drive cost reduction opportunities. (b) Automation & system enhancements: PFM is responsible for identifying automation opportunities and improving non-automated processes. (c) Stakeholder Management: The PFM navigates across category teams, fulfillment teams, BI and other stakeholders to drive business objectives. (d) Strategic planning: PFM is responsible for defining and creating annual the operational plans.

Basic Qualifications

  • 3+ years of program or project management experience
  • 3+ years of working cross functionally with tech and non-tech teams experience
  • 3+ years of defining and implementing process improvement initiatives using data and metrics experience
  • Bachelor's degree
  • Knowledge of Excel (Pivot Tables, VLook Ups) at an advanced level and SQL
  • Experience defining program requirements and using data and metrics to determine improvements

Preferred Qualifications

  • 3+ years of driving end to end delivery, and communicating results to senior leadership experience
  • 3+ years of driving process improvements experience
  • Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
  • Experience building processes, project management, and schedules

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

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Intern

Junior/L3 · Warehouse

1개 리포트

$30,509

총 연봉

기본급

$23,546

주식

-

보너스

-

$30,509

$30,509

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