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L'Oréal
L'Oréal

Global cosmetics and beauty company

Market Insights Business Intelligence Lead

직무BI
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Permanent

Dubai

Dubai

CMI

Full

  • Time

19-Feb-2026

Role: Market Insights & Business Intelligence Lead

General Description: Drive and implement the market insights and business intelligence action plan by providing high-quality deliverables into the growth strategy of the business. Analyze product performance, competition, sales (actuals and prospective). Automatize data collection and consolidation to enable more data driven decision making.

Responsibilities:

  • Automatize sell-out data collection and consolidation for local and regional reporting (One Market, Beauty Market Sell Out, Sell-ins, E-commerce, 3Y plans, Beauty Marche)
  • Leverage and develop synergies with data analysts and harmonize sell out templates across divisions for local reporting.
  • Capture category x country x channel dynamics to provide management with thorough reports and results, including insights to forecast beauty market trends.
  • Conduct SWOT on competitors / categories to assess opportunities for L’Oreal Middle East
  • Build and update 3Y market projections
  • Improve reliability of estimates O+O
  • Coordinate relationship and deliverables with Nielsen retail Intelligence team including trainings, panel delivery and prepare note for management.
  • E-commerce mapping and market sizing (pure players, e-retailers, D2C) definition, update and forecast per category per country.
  • Lead key strategic pieces of work like panel coverage, e-commerce market construction, etc.
  • Present insight findings to key stakeholders, with actionable recommendations for decision making. Align stakeholders on data.
  • Provide quality assurance across insight outputs produced across CMI (panels, sell-out, retailer, social data..)
  • Undertake statistical analysis of CMI data using Excel and/or data visualization tools
  • Contribute to research presentations, reports and briefings across the range of management and leadership challenges.

Knowledge & Experience:Education/ Qualification: Educated to degree level or equivalent, training in data mining field or equivalent is a plus.

No of years’ experience: 3 / 4 years

Essential experience: 2+ years in sales/marketing/ market research analytics generation experience. Excellent working knowledge of data analysis programs (Advanced Excel, SQL, R, SPSS, etc.) and data visualization (Microsoft BI, Tableau, etc.).

Skills & Abilities:

  • Ability to derive insight from data.
  • Experience of carrying out advanced analysis of large datasets, using Excel or else. Ability to integrate multiple data sources (retailer panels, financial data, channel, shopper, etc.) to create meta-analysis.
  • Ability to collaborate seamlessly with agency partners and internal teams to collect, present data and insights.
  • Contribute to research presentations, reports and briefings across the range of management and leadership challenges.
  • Work flexibly within the research and insight team to contribute to support wider strategic projects across CMI as and where appropriate.

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L'Oréal 소개

L'Oréal

L'Oréal

Public

L'Oréal is a French multinational cosmetics and beauty company that develops, manufactures, and markets skincare, haircare, makeup, and fragrance products. The company operates through multiple divisions including consumer products, luxury brands, professional products, and active cosmetics.

10,001+

직원 수

Clichy

본사 위치

$221B

기업 가치

리뷰

10개 리뷰

3.7

10개 리뷰

워라밸

2.5

보상

3.2

문화

4.1

커리어

3.4

경영진

3.8

65%

지인 추천률

장점

Supportive leadership and management

Innovative environment and products

Good benefits and perks

단점

High workload and demanding hours

Fast-paced and high pressure environment

Long work hours

연봉 정보

0개 데이터

Intern

Intern · Data Analyst

0개 리포트

$72,061

총 연봉

기본급

-

주식

-

보너스

-

$61,252

$82,870

면접 후기

후기 35개

난이도

3.0

/ 5

소요 기간

14-28주

합격률

41%

경험

긍정 64%

보통 22%

부정 14%

면접 과정

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

자주 나오는 질문

Technical skills

Past experience

Team collaboration

Problem solving