Kenvue is currently recruiting for a:
Lead Analyst - CVD Platform Data & Automation
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:
SR MANAGER SL OMNI CHANNEL
Location:
Asia Pacific, India, Karnataka, Bangalore
Work Location:
Hybrid
What you will do
The Lead Analyst is responsible for delivering high-impact analytics, data, and reporting solutions that enable better decision-making and measurable business outcomes. This role combines strong data analysis, data engineering, and business partnership capabilities, leading through expertise, influence, empathy, and collaboration. The Lead Analyst owns work end to end—from understanding business needs through delivery, adoption, and value realization—while setting high standards for analytical rigor, scalability, and reliability across CVD solutions.
In addition to core analytics responsibilities, this role places emphasis on building, scaling, and stabilizing data platforms, pipelines, and automation capabilities that enable efficient, repeatable, and reliable analytics delivery across customers and teams.
Deliver end-to-end analytics solutions spanning data ingestion, transformation, modeling, reporting, and insight generation
Design, build, and support scalable data pipelines that ensure timely, reliable, and high-quality data availability
Apply strong data modeling practices to support consistent metrics, reusable datasets, and downstream analytics and reporting
Partner closely with business stakeholders to translate requirements into durable, scalable analytics solutions
Ensure analytics outputs are production-ready, well-documented, and aligned to defined business use cases
Identify opportunities to automate manual processes, reduce operational overhead, and improve speed to delivery
Lead through influence by setting technical standards, sharing informed opinions, and constructively challenging designs and approaches
Build and maintain robust data ingestion, transformation, and validation workflows across multiple data sources
Enable analytics, reporting, forecasting, and self-service use cases through reliable and well-structured data foundations
Improve platform performance, scalability, and cost efficiency while maintaining data quality and governance standards
Support transitions and migrations (e.g., data platform or tooling changes) with minimal business disruption
Standardize patterns, processes, and reusable components to improve consistency and delivery velocity across teams
Strong hands-on experience with data analysis, transformation, and end-to-end analytics delivery
Experience designing and supporting scalable data pipelines in a modern cloud-based analytics environments (Databricks, Snowflake, Azure, SQL etc.)
Solid data modeling skills supporting consistent metrics, hierarchies, and reusable analytical structures
Proficiency in Python-based data engineering and analytics workflows
Experience delivering automation that reduces manual effort and improves reliability and timeliness
Strong collaboration and business partnership skills
Ownership mindset with accountability for platform reliability, efficiency gains, and downstream business enablement
Experience with distributed data processing and transformation approaches (e.g., PySpark-class workloads)
Exposure to analytics enablement for forecasting, planning, and performance management use cases
Experience supporting multi-team or contractor-based delivery models
Familiarity with data governance, access management, and data quality monitoring
Prior CPG, retail, or customer analytics platform experience
Leads through expertise, influence, and collaboration rather than formal authority
Works closely with business and delivery partners to ensure data foundations enable real outcomes
Demonstrates strong self-awareness, accountability, and constructive challenge
Continuously improves platforms, processes, and patterns to increase effectiveness and scalability
If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.
Kenvue is the world’s largest pure-play consumer health company by revenue. Built on more than a century of heritage and propelled forward by science, our iconic brands — including Aveeno®, BAND-AID® Brand Adhesive Bandages, Johnson’s®, Listerine®, Neutrogena®, Tylenol® and Zyrtec® — are recommended by health care professionals and can be trusted by consumers who use our products to improve their daily lives. Our team members share a digital-first mindset, with an approach to innovation grounded in deep human insights and work every day to earn a place for our products in consumers’ hearts and homes. At Kenvue, we believe everyday care can not only make people well; it can make them whole.
Beware of recruitment scams: https://www.kenvue.com/media/recruitment-scams-alert
