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.
Personal Care Product Manufacturing And Manufacturing
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