Back
Global brand, generalist data role, and metro office increase applicant competition.
Requires product categorization and retail market knowledge, limiting cross-industry transferability.
Mandatory Python plus expert data-quality skills create moderate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own and execute advanced BAU data production tasks including complex data coding, matching, and end-to-end quality checks to ensure data integrity and accuracy.
Identify outliers and anomalies in pricing, sales, and market trends through analytical assessment and lead root cause analysis for data issues and resolutions.
Manage stakeholder communication to deliver timely, accurate data outputs as per SLAs and proactively suggest process improvements for operational efficiency.
Mandatory expertise in Python programming.
Bachelor’s or master’s degree (or equivalent experience) in Business, Economics, Data Analytics, or related field.
Proven experience executing advanced data coding, matching, quality control, and analytics in a production environment (exact years of experience not explicitly mentioned).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced with product categorization, complex coding logic, and market dynamics in data operations or analytics roles.
Demonstrates strong analytical skills for detecting data patterns, quality issues, and driving root cause investigations.
Capable of managing end-to-end data quality processes and stakeholder communication in a fast-paced, data-driven environment.