Senior Business Analyst, Data Science

Senior Business Analyst, Data Science-2507030050W

Description

 

Kenvue is currently recruiting for:

Senior Business Analyst, Data Science, Digital Transformation Office

This position reports to and is based at Bangalore.

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:    

Location: Bangalore

Travel %: 10%

 

What you will do 

The Senior Business Analyst, Data Science will work to deliver Optimization solution to cross-functional Supply Chain teams. 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, 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

 

Key Responsibilities

Mathematical Modeling and Optimization:

·         Develop, refine and review mathematical models to represent supply chain systems, including inventory management, production planning, transportation logistics, and distribution networks.

·         Apply advanced optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms, to solve complex supply chain problems

·         Conduct sensitivity analysis, scenario modeling, and risk assessment to evaluate the impact of various factors on supply chain performance.

·         Collaborate with stakeholders to understand business objectives, constraints, and requirements, and translate them into mathematical models and optimization problems.

Data Analysis and Insights:

·         Analyze large datasets, extract relevant information, and identify patterns and trends to support decision-making processes.

·         Collaborate with data scientists and business analysts to gather and preprocess data from various sources, ensuring data accuracy and integrity.

·         Generate actionable insights and recommendations based on data analysis to optimize supply chain operations, reduce costs, and improve customer service levels.

Solution Deployment:

·         Present findings, insights, and recommendations in a clear and concise manner.

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

·         Work with internal stakeholders like Data Engineers, Data Scientist, Business Analyst, Project Manager to ensure that product is tested and deployed on time.

Research and Innovation:

·         Stay updated with the latest developments in operations research, supply chain management, and optimization techniques.

·         Conduct research and explore innovative approaches to address supply chain challenges and drive continuous improvement.

What we are looking for

·         Master in Industrial Engineering, Operations Research or Management Science or related field with 3+ years of total work experience in Supply Chain Optimization

·         Proficiency in mathematical modeling and optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms.

·         Strong programming skills in languages such as Python, R, or MATLAB, with experience in optimization libraries (e.g., Gurobi,FICO, CPLEX) and data manipulation tools (e.g., pandas, NumPy).

·         Experience with data analysis, statistical modeling, and visualization using tools like SQL, Tableau, or Power BI.

·         Knowledge of supply chain concepts, including demand forecasting, inventory management, production planning, transportation logistics, and distribution networks.

 

Qualifications

 

Master in Industrial Engineering, Operations Research or Management Science

 

Primary Location

 Asia Pacific-India-Karnataka-Bangalore

Job Function

 Market Research