Senior Business Analyst, Data Science

Was wir tun

Bei Kenvue erkennen wir die außergewöhnliche Kraft der täglichen Pflege. Aufbauend auf über einem Jahrhundert Tradition und verwurzelt in der Wissenschaft, sind wir das Haus der ikonischen Marken - darunter NEUTROGENA®, AVEENO®, TYLENOL,® LISTERINE®, JOHNSON'S® und BAND-AID®, die Sie bereits kennen und lieben. Wissenschaft ist unsere Leidenschaft; Fürsorge ist unser Talent.

Wer wir sind

Unser globales Team besteht aus ~ 22.000 brillanten Mitarbeitern mit einer Arbeitsplatzkultur, in der jede Stimme zählt und jeder Beitrag geschätzt wird. Wir sind leidenschaftlich an Erkenntnissen interessiert, Innovation und dem Engagement, unseren Kunden die besten Produkte zu liefern. Mit Fachwissen und Einfühlungsvermögen bedeutet ein Kenvuer zu sein, die Macht zu haben, jeden Tag Millionen von Menschen zu beeinflussen. Wir stellen den Menschen an die erste Stelle, kümmern uns leidenschaftlich, gewinnen Vertrauen in der Wissenschaft und lösen Lösungen mit Mut – und haben brillante Möglichkeiten, die auf Sie warten! Gestalten Sie mit uns unsere Zukunft – und Ihre. Für weitere Informationen, klicken Sie auf hier.

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Was Sie tun werden

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.

Kenvue is currently recruiting for: 

Senior Business Analyst, Data Science, Digital Transformation Office

This position reports to Senior Data Science Manager and is based at Bangalore.

Role reports to: Senior Data Science Manager   

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.

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