Data Analytics Manager

What we do

At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent.

Who We Are

Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated.  We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here.

Role reports to:

Location:

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What you will do

• 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.

If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.