Senior Executive – Supply Chain Data Analyst

KOHLER India; Pune District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Kohler India Technical Center invites applications for a Senior Executive, Supply Chain Data Analyst. You will build data pipelines, work with SAP, TMS, and WMS data, and deliver insights via dashboards to enhance supply chain networks. Collaboration across COEs will be essential for strategic initiatives and data governance.

The role requires strong SQL and Python skills, experience with Alteryx, and proficiency in Power BI or Tableau. Flexibility to work with US stakeholders is noted.

Qualifications

• 5–7 years of experience in data analysis, preferably in supply chain or operations.
• Strong proficiency in SQL and Python for data manipulation and analytics.
• Experience with data transformation tools such as Alteryx or similar ETL platforms.
• Hands-on experience with data visualization tools like Power BI or Tableau.
• Proficiency in Excel, including advanced formulas and VBA scripting.
• Familiarity with supply chain concepts such as sourcing, inventory, transportation, and capacity planning.
• Experience with large datasets from ERP systems (e.g., SAP) and integrating data from multiple sources.

Responsibilities

• Design, build, and maintain robust data pipelines for supply chain analytics.
• Integrate data from SAP, TMS, WMS, and external sources using SQL, Python, and Alteryx.
• Automate data workflows, ensuring accuracy and availability for modeling and visualization.
• Collaborate with IT and data engineering to streamline data ingestion and transformation.
• Develop and maintain dashboards and reports using Power BI or Tableau.
• Use Python for data wrangling, forecasting, clustering, or optimization tasks.
• Leverage Excel and Power Query for rapid analysis and prototyping.
• Prepare datasets for supply chain modeling tools like Llamasoft/Optilogic.

Skills

SQL

Python

Power BI

Tableau

Alteryx

Excel VBA

Data Analytics

Education

Engineering/Data Analytics/OR/Data Science degree

Tools

SAP

TMS

WMS

Llamasoft

Optilogic

Job description

At Kohler, our mission is to help people live gracious, healthy, and sustainable lives. We believe that empowering our associates is essential to making this vision a reality. That’s why we invest in personal and professional growth, encourage collaboration across teams and functions, and offer a comprehensive wellness package that supports the well-being of every team member.

Kohler is an equal opportunity employer. Along with competitive compensation and benefits, we offer something more enduring—a legacy built on bold innovation, creative excellence, and a deep commitment to our people and communities. Learn more about our culture and career opportunities at www.kohler.co.in/careers.

Our approach to hiring reflects our commitment to Global Inclusion. We recruit, hire, and promote qualified individuals in all roles without regard to race, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, or disability. If you are an individual with a disability and require reasonable accommodation during the recruitment process, please let your recruiter know so we can support you appropriately.

Senior Executive – Supply Chain Data Analyst

We (Kohler India Technical Center) are a global center responsible for providing technical and nontechnical services for all the businesses and product lines for Kohler Co. globally (including Kitchen and Bath, Hospitality). We are on the journey of establishing a center for excellence, responsible for bringing cutting edge solutions with the latest technologies and creating a delivery function for various implementations across functions.

We are looking for a Senior Executive, Supply Chain Analyst to join our team and strengthen our Supply Chain Analytics Organization. This role will play a critical part in building and sustaining the foundational data capabilities required for supply chain network modeling, optimization, and visualization. As a key enabler of the Network Design COE, the analyst will manage data pipelines, automate workflows, and deliver actionable insights through advanced analytics and visualization. This is an exciting opportunity to collaborate, learn, and grow within a dynamic global supply chain environment, working closely with the broader analytics team and various Supply Chain COEs

Role and Responsibilities

• Design, build, and maintain robust data pipelines to support supply chain network modeling and analytics.
• Integrate and transform data from multiple sources including SAP, TMS, WMS, and external datasets using tools like SQL, Python, and Alteryx.
• Automate data workflows and ensures accuracy, consistency, and availability for modeling and visualization purposes.
• Collaborate with IT and data engineering teams to streamline data ingestion and transformation processes.
• Data Analysis, Coding, and Visualization
• Perform exploratory and statistical data analysis to uncover trends, patterns, and insights across the supply chain.
• Develop and maintain interactive dashboards and reports using Power BI or Tableau to support decision-making.
• Use Python for data wrangling, automation, and advanced analytics tasks such as forecasting, clustering, or optimization support.
• Leverage Excel (including VBA scripting) and Power Query for quick-turnaround analysis, prototyping, and ad hoc reporting.
• Prepare and validate datasets for use in supply chain network modeling tools (e.g., Llamasoft, Optilogic)
• Work closely with the Network Design COE team to provide data-driven support for strategic initiatives.
• Partner with Advanced Analytics, Procurement, Logistics, and Finance teams to align data requirements and outputs.
• Assist in the development of standardized data models, templates, and reusable scripts for recurring analyses.
• Process Improvement & Documentation
• Identify opportunities to streamline data processes and improve data quality and accessibility.
• Document data sources, transformation logic, automation scripts, and reporting standards to ensure transparency and repeatability.
• Contribute to the development of best practices for data governance, coding standards, and analytics within the supply chain function.

What we are looking for from your past experience

Experience requirement

• Must Have’s
• 5–7 years of experience in data analysis, preferably within a supply chain or operations environment.
• Strong proficiency in SQL and Python for data manipulation, automation, and analytics.
• Experience with data transformation tools such as Alteryx or similar ETL platforms.
• Hands-on experience with data visualization tools like Power BI or Tableau.
• Proficiency in Excel, including advanced formulas and VBA scripting for automation.
• Familiarity with supply chain concepts such as sourcing, inventory, transportation, and capacity planning.
• Experience working with large datasets from ERP systems (e.g., SAP) and integrating data from multiple sources.
• Strong analytical mindset with attention to detail and a passion for solving complex problems with data.
• Excellent communication skills with the ability to present insights clearly and effectively.
• Added Advantage
• Exposure to supply chain network modeling tools (e.g., Llamasoft, Optilogic) is a plus.
• Experience with cloud-based data platforms (e.g., Azure, AWS, Fabric) is an advantage.
• Knowledge of data governance and master data management principles.
• 7+ Years of overall experience in Supply Chain/ Data Analysis and/or related field

Educational Qualification requirement

Degree in Engineering, Data Analysis, Operations Research, Data Science or similar

Organizational Relationships

• Reports to Senior Manager – Supply Chain Operations & Design
• Regular interactions with Global Supply Chain and Operations teams
• Frequent interaction with Internal stakeholders including SC Leadership teams

The associate should have the flexibility to work in shifts to accommodate an overlap with US Stakeholders timings.

Mandatory Skills

Supply Chain Analyst, Data Specialist, Power BI, Python, SQL, Data Analytics