Kenvueは現在、以下求人を募集しております。
Lead External Intelligence Analyst私たちがしていること
私たちKenvueは、日々のケアが持つ驚くべき力を信じています。100年以上の伝統と科学に根ざし、Neutrogena®, Aveeno®, Tylenol®, Listerine®, Johnson’s® and BAND-AID®など、皆様が既にご存じでご愛用いただいているアイコニックなブランドを提供しています。科学は私たちの情熱であり、ケアは私たちの才能です。
Who We Are
私たちのグローバルチームは、インサイトとイノベーションに情熱を注ぎ、最高の製品をお客様にお届けすることに全力を注ぐ、多様で優秀な22,000人以上の社員で構成されています。専門知識と共感力を備えたKenvuerであることは、毎日何百万人もの人々の生活に影響を与える力を持つことを意味します。私たちは、人を第一に考え、全身全霊をもってケアし、サイエンスで信頼を獲得し、勇気をもって解決します。私たちとあなた自身の未来を、共に切り開いていきましょう。
Role reports to:
COE CxO Sr Mgr Data Mngmt Analytics CBI場所:
Asia Pacific, India, Karnataka, Bangalore勤務地:
ハイブリッドあなたがすること
Key Responsibilities:
- Data Analysis: Proactively analyze Kenvue’s performance across various data sources, including share performance, economic forecasts, category forecasts, and competitor reports.
- Reporting: Assist in developing and maintaining global category and innovation forecasting processes, working closely with Data Science and data visualization teams.
- Market Monitoring: Continuously review market landscapes to ensure optimal data coverage and provide monthly summaries of external changes to leadership.
- Insight Generation: Identify key insights through advanced analytics and communicate findings to influence business investment decisions.
- Collaboration: Partner with Brand Development teams to set up innovation performance reporting and validate forecasting processes.
- Seasonal Monitoring: Provide monthly monitoring of seasonal categories and expected performance.
- Stakeholder Engagement: Build strong relationships with global strategy, brand development, and regional teams to ensure adoption of tools and insights.
- Process Optimization: Support the optimization of reporting processes to meet evolving business needs through training and support.
Qualifications:
- Education: Bachelor’s degree in marketing, finance, sciences, economics, or a related field.
- Experience: 2-4 years of experience in FMCG or a similar industry, with a strong understanding of data sources like NiQ, Euromonitor, and economic indicators.
- Technical Skills: Proficiency in data analysis and visualization tools (e.g., Excel, Tableau, Power BI) and experience with statistical programming languages (e.g., R, Python, SQL).
- Analytical Skills: Strong analytical and problem-solving skills with a keen attention to detail.
- Communication Skills: Excellent written and verbal communication skills to convey complex data insights clearly.
- Project Management: Solid project management skills and the ability to prioritize tasks effectively.
- Interpersonal Skills: Experience working in a matrix organization and managing relationships with various stakeholders.
- Business Acumen: Desire and ability to understand the broader business context and how analytics impact strategic decisions.
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