Kenvue is currently recruiting for a:
Commercial Analytics Specialist

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:
DAS & Biz Excellence Manager, CE

Location:
Asia Pacific, South Korea, Seoul, Seoul

Work Location:
Hybrid

What you will do
The Commercial Analytics Specialist is a hands-on role that strengthens our Commercial Growth Analytics capability within Commercial Excellence. The role owns performance analytics for designated commercial areas and delivers selected Revenue Growth Management (RGM) and business decision analytics, translating data into recommendations, actions and measurable impact.

• Manage performance analytics for designated commercial areas by maintaining KPI frameworks, scorecards and dashboards and supporting regular business review cadences.
• Diagnose performance drivers, identify opportunities and risks, translate findings into clear recommendations, and track agreed actions and business impact.
• Deliver selected RGM use cases, such as promotional effectiveness and ROI, pricing analysis, portfolio/mix and assortment productivity, MSL performance, and commercial investment effectiveness.
• Integrate internal and external market, category, customer and competitor data, where available, to strengthen commercial decisions.
• Structure and answer priority business questions through diagnostic analysis across GTM, channel, customer and innovation initiatives.
• Evaluate commercial initiatives and improve dashboards from business requirements through adoption and ongoing enhancement.
• Standardize KPI and data definitions, document reusable analytical approaches and playbooks, and improve reporting consistency.
• Partner with Sales, Marketing, eCommerce, Finance, Retail Excellence, CRM and Data Science, contributing business context and independently owning assigned analysis through recommendations and adoption.
• Communicate findings through clear, audience-appropriate stories and constructively challenge assumptions when evidence indicates a different conclusion.

What We Are Looking For
Required Qualifications

• 3-6 years of relevant experience in commercial analytics, sales or marketing analytics, business intelligence, Revenue Growth Management, trade marketing, Commercial Excellence, or a related field.
• Bachelor's degree or equivalent in Business, Marketing, Economics, Statistics, Data Analytics, or a related field.
• Hands-on analytical capability, including advanced Excel and practical experience with SQL and a BI or visualization tool such as Power BI or Tableau.
• Demonstrated ability to translate ambiguous business questions into analytical hypotheses, KPIs, success metrics, and a structured workplan.
• Ability to assess data quality, validate analytical outputs, and distinguish evidence from assumptions.
• Strong commercial acumen, quantitative reasoning, critical thinking, and problem-solving skills.
• Clear written and verbal communication skills, with the ability to collaborate effectively across functions and levels. Fluent Korean and business-level English communication skills.

Desired Qualifications

• Experience in consumer health, FMCG, retail, eCommerce, pharmaceuticals, or another data-rich commercial environment.
• Experience with RGM, pricing, promotional effectiveness, portfolio/mix, assortment, or commercial investment analysis.
• Experience supporting recurring business performance reviews, KPI governance, dashboard product ownership, or action tracking.
• Experience using market, category, customer, shopper, or brand health data to generate commercial recommendations.
• Experience partnering with Data Scientists or advanced analytics teams, with the ability to understand analytical methods, assumptions, and limitations.