The role involves executing production tasks with expert-level proficiency to support business operations during the setup phase of new projects. Responsibilities include performing advanced data coding, data matching, and conducting comprehensive quality checks to ensure accuracy. The analyst will communicate with stakeholders to implement changes, resolve queries, and ensure timely data delivery. Additionally, the position requires leading root cause analysis for data errors and documenting findings to drive resolution. The role also entails proactively suggesting process improvements to enhance data quality and operational efficiency.

Candidates must possess an expert-level understanding of product categorization, coding logic, and market dynamics. Strong analytical skills are required to identify patterns and anomalies within large datasets, alongside the ability to perform end-to-end quality control. Applicants should hold a bachelor’s or master’s degree in Business, Economics, Data Analytics, or a related field, or possess equivalent professional experience. The role requires between six months and two years of relevant experience.