Associate Inventory Management Analyst

The Analyst 1 (Warehouse) drives execution and improvement of warehouse operations through data-driven insights, digital tools, and process optimization. This role contributes from day one by enabling real-time operational visibility, strengthening data integrity, and supporting decision-making. The Analyst plays an active role in transforming warehouse operations from manual processes to automated, intelligent, and connected workflows—improving efficiency, reducing cycle time, and enhancing inventory control.

Responsibilities

Extract, structure, and validate WMS/ERP data to ensure high data integrity and usability for operations; Develop and maintain real-time dashboards and visual management tools for operational monitoring (e.g., GR TAT, WO cycle time, WARS, productivity); Monitor operational flows (inbound, kitting, outbound, replenishment) and proactively highlight risks or bottlenecks impacting performance; Identify data anomalies, system gaps, or transaction failures and drive timely resolution with relevant stakeholders; Support inventory accuracy through data-driven variance analysis and root cause identification; Ensure visibility and control of exceptions (MRB/damaged/expired) through structured tracking and resolution mechanisms; Drive automation of repetitive tasks using digital tools, scripting, or system enhancements; Design and enhance digital workflows to replace manual tracking and improve process reliability; Develop data models or visualizations that enable faster and better operational decisions; Contribute to digitalization initiatives (e.g., WMS enhancements, automation pilots, system integration, IoT-enabled tracking); Apply structured problem-solving using data to eliminate recurring operational issues; Maintain SOPs and digital workflows to ensure consistency, scalability, and audit readiness; Collaborate with Ops, Planning, QA, IT, and Procurement to drive cross-functional solutions; Take ownership of assigned operational processes and continuously improve performance; Uphold EHS/ESD/5S standards in all activities.

Requirements

Bachelor’s in Logistics/Supply Chain/Industrial Engineering/Business Analytics/Data Science/Computer Science (or related); Strong Excel/data handling skills (data structuring, transformation, analysis); Foundational BI capability (Power BI/Tableau—ability to build or modify dashboards); Basic understanding of warehouse operations and data flows (WMS/ERP); Strong analytical thinking and problem-solving capability; Ability to work with large datasets and translate data into actionable insights; Effective communication and cross-functional collaboration skills; Demonstrated ability (projects/internship) to use digital tools or data to solve real-world problems.

Nice to have

Programming or scripting knowledge (Python, SQL, VBA, Power Query); Experience in building dashboards, automation tools, or data pipelines; Exposure to warehouse systems (WMS/ERP) or operations analytics; Familiarity with Lean, Kaizen, or structured problem-solving methodologies; Exposure to automation technologies, IoT, AI/ML, or smart manufacturing concepts.