Data Analytics Manager

Data Analytics Manager

O que fazemos

At Kenvue, percebemos o extraordinário poder do cuidado diário. Construída com base em mais de um século de herança e enraizada na ciência, somos a casa de marcas icônicas - incluindo NEUTROGENA®, AVEENO®, TYLENOL,® LISTERINE,® JOHNSON'S® e BAND-AID® que você já conhece e ama. A ciência é a nossa paixão; O cuidado é o nosso talento.

Quem somos

Nossa equipe global é de ~ 22.000 pessoas brilhantes com uma cultura no local de trabalho onde cada voz é importante e cada contribuição é apreciada. Somos apaixonados por insights, inovação e comprometidos em entregar os melhores produtos aos nossos clientes. Com experiência e empatia, ser um Kenvuer significa ter o poder de impactar milhões de pessoas todos os dias. Colocamos as pessoas em primeiro lugar, nos importamos ferozmente, ganhamos confiança com a ciência e resolvemos com coragem - e temos oportunidades brilhantes esperando por você! Junte-se a nós para moldar nosso futuro - e o seu. Para obter mais informações, clique em aqui.

Role reporta para:

DAS & Biz Excellence Manager, CE

Localização:

Asia Pacific, South Korea, Seoul, Seoul

Local de trabalho:

Híbrido

O que você fará

• Work with business stakeholders to deeply understand business context and key business questions. 
• Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.
• Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
• Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, SQL)
• Compare results from various methodologies and recommend optimal techniques.
• Provide guidance and leadership to more junior data analysts, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential.
• Organize, understand, curate and analyze data to drive business decisions.
• Constructively challenge with the status quo and look for new ways to improve processes and results.

 

 

What We Are Looking For

Required Qualifications

• Bachelor’s degrees in a quantitative discipline such as Statistics, Mathematics, Data Science, Computer Science (Master’s degree is preferred)
• 4~6 years of work experience in data analysis/predictive modeling/data mining/advanced analytics techniques or relevant functional experience required.
• A combination of business focus, strong analytical and problem-solving skills, and programming knowledge
• Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies
• Proficient in using Python/R, Solid understanding of data-modeling techniques including statistical evaluation, scoring and correlation-analysis etc., Excellent statistical reasoning and applied statistics skills.
• Ability to lead, manage, build, and deliver customer business results.
• Strong analytical and problem-solving skills, strategic mind and critical thinking.
• Excellent English communication (Writing & Oral) ability
• MS Office skills (Excel, PPT, Word) proficiency
• Proactive & Positive & innovative mind

 

Desired Qualifications

• Business experience and well understanding in marketing, business planning, and performance/growth marketing or relevant fields.
• Excellent communication and collaboration skills, with a demonstrated ability to lead and influence project teams and stakeholders.
• Experience in working with BI Tools (ex. Tableau, Power BI), ETL Tools (ex. SQL Query) and major cloud providers (ex. AWS, GCP).
• Acquainted with executing data management and associated operational processes (e.g., Data Lifecycle Management, Data Quality standards).

 

 

Kenvue is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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