Lead Assistant Manager
EXL
Lead Assistant Manager
EXL
Analyzes business data and runs outsourced operations
We are hiring for an Operations role with a leading global automobile firm. The role involves managing order forecasting and delivery operations with a strong focus on reducing back orders and ensuring smooth end-to-end operational execution across global stakeholders.
B.Tech or equivalent educational qualification. • Minimum 2+ years of relevant work experience in operations, supply chain, or related roles. • Hands-on experience with SAP Material Management (MM) navigation and SAP SPP Module. • Advanced proficiency in Microsoft Excel (formulas, pivot tables, lookups, data analysis). • Basic working knowledge of Python for data analysis, reporting, or automation tasks. • Street-smart and execution-focused approach to operational delivery. • Good understanding of operational processes and problem-solving in real-world scenarios. Good to Have • Working knowledge of SQL for data analysis and reporting. • Exposure to forecasting, supply chain planning, inventory management, or aftermarket operations. • Experience in automating reports or repetitive operational tasks using Python. Work Conditions • Willingness to work in night shifts is mandatory, as this is a global operations role.
Manage order forecasting and delivery planning for automobile products across regions. • Monitor and actively work on reducing back orders through effective coordination and execution. • Generate reports as required and perform daily, weekly, and monthly operational activities. • Work closely with supply chain, planning, and logistics teams to ensure timely deliveries. • Use SAP Material Management (MM) and SAP SPP modules for day-to-day operational tracking and reporting. • Analyze operational data using Excel, SQL, and basic Python to support decision-making and process improvements. • Support reporting automation and data validation activities using Excel and Python wherever applicable. • Ensure smooth operational delivery in a fast-paced, real-world environment.
EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.
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