The Data Operations Analyst plays a critical role in developing custom product attribution based on unique customer needs. Each of our corporate retail and brand customers thinks about the structure of their categories in slightly different ways, and the Data Operations Analyst will execute the mapping of products to their requirements using a combination of manual tagging and machine learning tools. Interpretation and execution design require strong judgment. The ideal candidate should bring a combination of technical skills, knowledge of consumer product data, strong attention to detail, and accountability to plan and deliver projects on time with a high degree of accuracy.

This is a fully-remote opportunity based in India.

During onboarding and training period, we expect several hours of overlap with US time zones. Afterward, hires should be available for meetings and check-ins with their US managers and colleagues; however, outside of these specific times, standard work hours can be flexible.

Responsibilities include understanding category structures and product attribution requirements, executing mapping of products to customer needs using manual tagging and machine learning tools, applying judgment to ensure alignment with specifications and business goals, collaborating with cross-functional teams to plan and deliver projects on time, continuously monitor and improve product attribution processes, leveraging technical skills to enhance processes, maintaining attention to detail for accuracy, and taking accountability for delivering projects and meeting deadlines.

Qualifications include 1-2 years of experience with Python, PySpark, and/or SQL; RegEx is a nice-to-have; proficiency in data analysis, tagging systems, and ML tools; knowledge of consumer product data and retail/brand data experience; strong attention to detail; problem-solving and collaboration skills; ability to manage multiple tasks; excellent communication; proven project execution ability.

Preferred: experience with data management platforms, product attribution systems, or ML tools; familiarity with data mapping, tagging, and categorization.

We offer a comprehensive compensation package with flexible work hours, vacation, 401K match, parental leave, wellness budget, learning reimbursement, and more. The final offer depends on factors including experience, knowledge, skills, and internal benchmarks.

We are an equal employment opportunity employer.

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