Kenvue 目前正在招聘 a：
我们做什么
在 Kenvue，我们意识到日常护理的非凡力量。我们以一个多世纪的传统为基础，植根于科学，是标志性品牌的品牌 - 包括您已经熟悉和喜爱的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科学是我们的热情所在;关心就是我们的才能。
我们是谁
我们的全球团队由 ~ 22,000 名才华横溢的员工组成，他们的职场文化中，每个声音都很重要，每一个贡献都受到赞赏。 我们热衷于洞察， 创新并致力于为我们的客户提供最好的产品。凭借专业知识和同理心，成为 Kenvuer 意味着每天有能力影响数百万人。我们以人为本，热切关怀，以科学赢得信任，以勇气解决——有绝佳的机会等着您！加入我们，塑造我们和您的未来。有关更多信息，请单击 here.
Role reports to：
COORD INTEL VENDAS位置：
Latin America, Argentina, Buenos Aires, Capital Federal工作地点：
混合你会做什么
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)
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