The Digital Operations Analyst will be responsible for providing exceptional customer service and front-line technical support for our Product Life Cycle business community, as well as other operational business systems. Experience in a related field, although not a requirement, would be a plus, as would be a knowledge of and enthusiasm for cosmetics and skin care. We would also appreciate someone with an understanding of e-Commerce user experience and intuitive knowledge of how users interact and shop in a digital environment. This position is based remotely in India and the candidate must be open to have flexible working hours with the expectation that they will attend meetings/have communication with teams based in USA and China time zones.
Assisting with investigating and resolving data issues, running bulk uploads, manually updating data in the application, etc. Responding to ad hoc requests for reports or master data listings.
Focus on Product Lifecycle business user support duties. Work closely with the contract personnel currently providing support. Build relationships with the various business teams based mostly in the US and China. These teams include Product Innovation, Regulatory, US Sourcing and Packaging, China R&D, Quality, Sourcing, New Product Development, and Packaging. Effectively communicate with senior management level business users.
Exposure to Product Life Cycle user communities such as Product Development and Sourcing teams, Innovation teams, Product Packaging, R&D, Regulatory, etc. Experience with Product Bill of Materials (BOMs), SKUs, Launch campaigns, etc. Must have excellent communication and people skills, with the ability to collaborate effectively with internal teams and external partners. Must have the ability to simultaneously manage a large and diverse number of tasks and issues with a high degree of accountability and professionalism. Must demonstrate the ability to perform work independently in a remote environment, and demonstrate solid organizational skills. Must have strong analytical skills with the ability to interpret data, identify patterns, and draw meaningful conclusions. Must demonstrate proficiency in using Product Life Cycle and related software tools, and data analysis tools.