Business Analyst

Description

KENVUE GCC, BENGALURU

Job Title : Analyst

Requirement : Data Science, Digital Transformation

Location: Bangalore

Key Skills: Data Scientist/Data Science, Machine Learning, Gen AI, Forecasting, Python, SQL, Scala/Hive

Education: Bachelor of Science or Bachelor of Engineering at a minimum.

About Kenvue:

Kenvue is the world's largest pure-play consumer health company by revenue.

Built on more than a century of heritage, our iconic brands, including Aveeno®, Johnson's®, Listerine®, and Neutrogena® are science-backed and recommended by healthcare professionals around the world.

At Kenvue, we believe in the extraordinary power of everyday care and our teams work every day to put that power in consumers' hands and earn a place in their hearts and homes.

Job Description:

The Analyst, Data Science will deliver critical insights and intelligence to cross-functional Supply Chain teams through scalable data science solutions.

This individual will work with cross-functional subject matter experts (SMEs) to deeply understand business context and key business questions / opportunities, as well as collaborate with other teams (e.g., Digital Capability teams, PMO, IT delivery, Data Engineering, Data Quality, Data Management & Governance, ML Ops) to ensure delivery of scalable data science solutions.

The ideal candidate for this role will demonstrate a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of the project and excellent written and communications skills to report back the findings in a clear, structured manner

Major Duties & Responsibilities:


* Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions


* Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects


* Influence machine learning strategy for Digital programs and projects


* Make solution recommendations that appropriately balance speed to market and analytical soundness


* Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor


* Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow)


* 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.


* Create algorithms to extract information from large, multiparametric data sets.


* Deploy algorithms to production to identify actionable insights from large databases.


* Compare results from various methodologies and recommend optimal techniques.


* Design, adapt, and visualize solutio...