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トレンド企業

トレンド企業

採用

求人Mars

SRM Manager Italy

Mars

SRM Manager Italy

Mars

ITA-Milan-Milan

·

On-site

·

Full-time

·

1mo ago

福利厚生

Learning

401(k)

必須スキル

SRM

Analytics

English

Job Description:

The SRM Manager partner with markets/channels/customers to adopt and implement cluster SRM strategy and priorities locally.

The SRM Manager translates cluster guidelines and frameworks to the local investment choices, pricing and promo plans.

Proactively coordinates market decisions in line with cluster SRM agenda, using all 4 levers of SRM in tune/balance. Ensures local steering and governance to keep relentless focus on value creation and Trade ROI improvement.

What are we looking for?

  • Advanced/fluent English language skills required (both written and oral)
  • 2-3 years of experience in SRM
  • Additional Demand or Sales experience preferred
  • High analytical ability
  • MLCs: Business insight, Balances stakeholders, Plans and aligns, Financial acumen, Optimizes work processes, Drives results

What will be your key responsibilities?

  • Develops markets level SRM plans based on the total cluster SRM strategy, framework and guidelines.
  • Defines market level annual SRM targets based on cluster AEP commitments.
  • Partners, governs and monitors annual SRM targets delivery, proactively initiates scenario planning and gap closing activities. Ensuring agreed actions are followed through.
  • Conducts internal&external analysis of SRM metrics across markets, cells and category players, including financial and shopper metrics. Derives insights and maps the opportunities to maximize value creation at a local level.
  • Informs annual planning cycle with the market insights, rpoviding quantitative and qualitative SRM inputs.
  • Provides market level SRM inputs to S&OP+ forums (SRM council, Pricing council, DMR, PMR, MBR etc), ensures proper feedback loop between market and cluster SRM, coordinates market decisions in line with SRM roadmap and principles.
  • Owns local pricing roadmap, creates and aligns SKU level pricing proposals in line with cluster pricing&PPA guidelines and commitments.

What can you expect from Mars?

  • Work with over 140,000 diverse and talented Associates, all guided by the Five Principles.
  • Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
  • Best-in-class learning and development support from day one, including access to our in-house Mars University.
  • An industry competitive salary and benefits package, including company bonus.

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

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0

応募クリック数

0

模擬応募者数

0

スクラップ

0

Marsについて

Mars

Mars

Bootstrapped

Mars is a global manufacturer of confectionery, pet food, and other food products, known for brands like M&M's, Snickers, and Pedigree.

10,001+

従業員数

McLean

本社所在地

$50B

企業価値

レビュー

3.8

10件のレビュー

ワークライフバランス

2.8

報酬

3.5

企業文化

3.7

キャリア

3.8

経営陣

3.2

65%

友人に勧める

良い点

Training and development opportunities

Supportive management and team culture

Professional growth opportunities

改善点

Heavy workload and overtime expectations

High-pressure and stressful environment

Limited advancement opportunities

給与レンジ

413件のデータ

Junior/L3

Mid/L4

Senior/L5

VP

Intern

Director

Junior/L3 · Associate Client Advisor

1件のレポート

$128,000

年収総額

基本給

$98,944

ストック

-

ボーナス

-

$128,000

$128,000

面接体験

2件の面接

難易度

3.5

/ 5

期間

14-28週間

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Interview

6

Offer

よくある質問

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit