Vison Group Retail Technologies pvt ltd

Nagercoil, Kanyakumari

Job Title-Process Associate Scope: Process Associates of Data Operations are involved in Pre-processing and Post-processing activities of Model Processing to ensure that the model / recognition engine delivers the intended results / expectations as per the customer requirements. Roles and Responsibilities:Major processes involved are Data Cleaning, Model Validation, User Certification, Planogram Services. 1. Perform the activities as per the SOP of the respective processes / the specific requirements provided by the internal stakeholders. 2. Meet the FPH targets consistently. 3. Ensure that activities performed have error rates within the set UL. 4. Adhere to the set system and process standards. 5. Involve and contribute to process and system improvements through suggestions and ideas.

Lead, motivate, and support a large team within a time-sensitive and demanding environment, including setup and implementation of career development plans for all direct reports and problem resolutiono Manage timely data collection to update operations metricsto achieve productivity targets, eliminate errors and deliver excellent customer serviceo Partner with cross-functional support teams in improving the proprietary tools and systemso Drive and train the staffs towards the vision of the Organization, policies, procedures, and best practices.o Organizes and oversees the schedules and work of assigned staffs.o Conducts performance evaluations that are timely and constructive.o Manages a team of assigned operations representatives and ensures they comply with company guidelines particularly related to quality of service.o Monitors or reviews the productivity and other correspondence between Front line Staffs,TLs and Clients.o Ensures that representatives are informed about changes to company products and services.o Prepares knowledge-based documents such as summaries and responses to frequently asked questions.o Identifies opportunities to update or improve the quality and quantity of productivity