Data Operations Analyst

1-2 years experience with Python, Pyspark, and/or SQL. Proficiency in data analysis, tagging systems, and machine learning tools. Knowledge of consumer product data and experience with retail or brand data. Exceptional attention to detail and focus on accuracy. Excellent problem-solving and critical-thinking skills. Ability to manage multiple tasks and projects accurately. Strong communication and collaboration skills. Proven ability to execute projects efficiently and meet deadlines. RegEx experience is a nice-to-have.

Understand customer category structures and product attribution requirements. Map products to customer category needs using manual tagging and machine learning. Apply judgment and interpretation for accurate data mapping. Collaborate with cross-functional teams for project planning and delivery. Monitor and improve product attribution processes. Leverage technical skills to enhance data operations tools and processes. Maintain high accuracy in all data mapping tasks. Take accountability for project execution and meeting deadlines.