Data Analytics Manager

Data Analytics Manager

Cosa facciamo

A Kenvue, ci rendiamo conto dello straordinario potere della cura quotidiana. Costruiti su oltre un secolo di tradizione e radicati nella scienza, siamo la casa di marchi iconici, tra cui NEUTROGENA®, AVEENO,® TYLENOL,® LISTERINE,® JOHNSON'S® e BAND-AID® che già conosci e ami. La scienza è la nostra passione; la cura è il nostro talento.

Chi siamo

Il nostro team globale è composto da ~ 22.000 persone brillanti con una cultura del posto di lavoro in cui ogni voce conta e ogni contributo è apprezzato. Siamo appassionati di intuizioni, innovazione e impegno a fornire i migliori prodotti ai nostri clienti. Con competenza ed empatia, essere un Kenvuer significa avere il potere di avere un impatto su milioni di persone ogni giorno. Mettiamo le persone al primo posto, ci prendiamo cura di noi, ci guadagniamo la fiducia della scienza e risolviamo con coraggio - e abbiamo brillanti opportunità che ti aspettano! Unisciti a noi per plasmare il nostro futuro e il tuo. Per ulteriori informazioni, fare clic su here.

Role riporta a:

DAS & Biz Excellence Manager, CE

Ubicazione:

Asia Pacific, South Korea, Seoul, Seoul

Luogo di lavoro:

Ibrido

Cosa farai

• 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.

Se sei un individuo con disabilità, controlla il nostro "Pagina di assistenza per disabili per informazioni su come richiedere un alloggio.