Total 2 job vacancies by Western Digital

As a  Senior Finance Analyst, will act as the focal person of all POS and inventory concerns in his area and  managing the day to day activities related to POS Management
 
ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Conduct reconciliation of customer point of sales and inventory against company records
• Track inventory on hand and sold through for customer and interface with customer to ensure accuracy of claimed rebates
• Provide support and training to customers regarding the point of sale data and inventory report process
• Load system data required to reconcile inventory
• Analyze distributor disputes in line with POS and inventory mismatch
• Helps perform necessary activities; prepare reports and documents for monthly and quarterly close.
• Manage files, records, transactions and other office procedures and maintain audit trail
• Ensure targets, measurements and service levels are met

Develops and implements scalable data pipelines, transforms complex datasets into actionable insights, and creates data-driven solutions to support strategic decision-making and business growth.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Design, build, and maintain robust data pipelines for collecting, processing, and integrating data from various sources.
• Ensure that data is accurately and efficiently transferred and transformed between systems.
• Create dashboards, reports, and visualizations to support decision-making.
• Collaborate with cross-functional teams to understand their data needs and provide actionable, data-driven recommendations.
• Use statistical, machine learning, or deep learning techniques to analyze and model data, identify trends, patterns, and relationships, and provide applicable solutions.
• Develop predictive models using machine learning algorithms to forecast trends and future outcomes. Then, deploy these models and systems, and monitor and maintain them to ensure they are working effectively.
• Document data workflows, processes, and technical specifications.
• Stay updated with industry trends and best practices to continuously improve data engineering practices.