Data Operations Analyst

About the Role The Data Operations Analyst plays a critical role in developing custom product attribution for corporate retail and brand customers. You will map products to customers’ category structures using a combination of manual tagging and machine learning tools, applying strong judgment to align with client specifications and business goals. This fully-remote role is based in India, with overlapping hours for US time zones during onboarding. What You'll Do

• Work with corporate retail and brand customers to understand their category structures and product attribution requirements.
• Execute the mapping of products to customers' category needs, utilizing both manual tagging and machine learning tools.
• Apply strong judgment and interpretation skills to ensure that data mapping aligns with customer specifications and business goals.
• Collaborate with cross-functional teams to plan and deliver projects on time, ensuring high levels of accuracy and precision.
• Continuously monitor and improve product attribution processes to increase efficiency and quality.
• Leverage technical skills to enhance existing processes and tools that support data operations.
• Maintain strong attention to detail and ensure accuracy in every aspect of the data mapping process.
• Take accountability for successfully executing projects, including meeting deadlines and client expectations. What We're Looking For
• 1-2 years of experience developing a strong technical background, including applied Python, PySpark, and/or SQL skills.
• RegEx experience is not mandatory but would be considered a nice-to-have.
• Proficiency in data analysis, tagging systems, and machine learning tools.
• Knowledge of consumer product data and experience working with retail or brand data.
• Exceptional attention to detail, with a focus on delivering high-quality, accurate results.
• Excellent problem-solving and critical-thinking skills.
• Ability to manage multiple tasks and projects while maintaining a high degree of accuracy.
• Strong communication and collaboration skills to work with internal teams and external clients.
• Proven ability to execute projects efficiently and meet deadlines. Nice to Have
• Experience with data management platforms, product attribution systems, or machine learning tools.
• Familiarity with data mapping, tagging, and categorization practices. Compensation & Benefits
• Flexible work hours and flexible vacation.
• Generous 401K match and parental leave.
• Team events and wellness budget.
• Learning reimbursement and ongoing professional development.
• Competitive salary with benefits package.