Sr. Analyst, Data Science Support
Asia Pacific-India-Karnataka-Bangalore
Kenvue
Everyday care is a powerful catalyst in making you feel better, inside and out. Learn about the iconic brands, products, people, and history that make up Kenvue.Description
Kenvue is currently recruiting for:
Sr. Analyst, Data Science Support
This position reports to the Manager, Data Science & Digital Solutions, and is based in Bangalore, India.
Who we are 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® Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~22,000 diverse and brilliant people, 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 the life of 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: Manager, Data Science & Digital Solutions
Location: Bangalore, India
Travel %: 0
What you will do
As Sr. Analyst, Data Science Support, you will be responsible for supporting and maintaining data science solutions leveraged by users across Kenvue Operations. In this role, you will work with cross-functional teams to ensure that our data science products are reliable for end users to support critical business operations.
Key Responsibilities
· Provide ongoing communication to stakeholders regarding incidents, including their root causes and corrective actions being taken.
· Ensure data science solutions are reliable, with accurate and timely data.
· Collaborate with data scientists, analysts, and other stakeholders to understand recurring issues and provide them with solutions.
· Use tools such as Tableau, Power BI, and other visualization software to create insightful and easy-to-understand reports.
· Work closely with Data Scientists in implementing ML models, build data pipelines.
· Identify development needs for the purpose of streamlining and improving operations
· Support Design, development, and optimize data pipelines to extract, transform, and load (ETL) data from various sources.
· Use Python, SQL for data analysis and data extraction.
· Build and support tools using Power Apps and Power Automate.
· Coach junior team members and drive continuous improvement of Support processes.
What We Are Looking For
Required Qualifications
· Minimum of a bachelor's degree is required. Specialization in supply chain with experience in digital product development, data science or advanced analytics fields is strongly preferred.
· Minimum of 4 – 6 years of business experience, with at least 2 years of experience in an Operations & Support role
· Proficiency in SQL and Python
· Expertise in data visualization tools, especially Power BI
· Experience with ETL tools and processes, especially Alteryx
· Strong knowledge of data warehousing solutions
· Familiarity with Microsoft technology stack (e.g., Azure, Databricks)
· Experience with PowerApps and Power Automate
· Ability to work with both technical and non-technical team members.
· Excellent communication skills, both verbal and written, with the ability to convey complex information clearly
· Strong problem-solving and analytical abilities.
· Ability to work effectively in a fast-paced and dynamic environment.
· Proven ability to manage multiple projects simultaneously.
Qualifications
Minimum of a bachelor's degree is required
Primary Location
Asia Pacific-India-Karnataka-BangaloreJob Function
Operations (Generalist)* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Data analysis Databricks Data pipelines Data visualization Data Warehousing ETL Machine Learning ML models Pipelines Power BI Python SQL Tableau
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