Kenvueは現在、以下求人を募集しております。
Data Science Management 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:
COORD INTEL VENDAS場所:
Latin America, Argentina, Buenos Aires, Capital Federal勤務地:
ハイブリッドあなたがすること
What you will do
The Data Analyst will be responsible for the extract, transform and load (ETL) process for Kenvue sales data, generating and analyzing reports, and ensuring the understanding and adoption of the Data Products generated. This position will be working close of IT technical team and also hands-on with Dashboards development, SQL query analysis, data lake process improvements, granting the daily business data update with data quality. This position should ensure that users understand and use the data and providing support to guide data decision-making.
The Data Science team works closely with Productivity, Analytics, Pricing, S&OP, and Category Management areas and primarily support the Commercial team, although we have a lot of contact with Trade Marketing, Marketing, and Finance.
Key Responsibilities
- Perform the sales data flow ETL maintenance ensuring data quality.
- Develop and implement data products to drive business insights and decision-making.
- Collaborate with cross-functional teams to design and execute data-driven projects and initiatives.
- Create visualizations and dashboards empowering end-users to track and analysis main KPIs.
- Stay current on industry trends and emerging technologies to continuously improve data science practices.
- Monitor and analyze sales performance metrics to identify opportunities.
- Deliver training on data utilization and tools.
What we are looking for
Required Qualifications
- 2 years of experience in data analysis or related field.
- Excellent organizational and process-oriented skills.
- Advanced computer skills including Office 360 applications (mainly excel).
- Business Intelligence Tools experience (Tableau)
- Basic SQL knowledge.
- Good communication skills and ability to build relationships to delivery results.
- Bachelor's degree in Data Science, Data Engineering, Economics, Engineering, Marketing with focus in Data, Computer Science or equivalent fields.
- Advanced English level
Desired Qualifications
- Python for data manipulation (desirable).
- Background in health/personal care segment.
- Previous experience working with external data providers (i.e. Nilsen, IQVIA, Closeup, Neogrid, Scanntech, Teamcore)
障害のある個人の方は、宿泊施設のリクエスト方法について障害支援ページを確認してください。
