Data Operations Analyst

Summary

Join YipitData, a leading market research and analytics firm, as a Data Operations Analyst. You will play a crucial role in developing custom product attribution solutions based on unique customer needs, working closely with corporate retail and brand customers. This fully remote position, based in India and starting June 30, 2025, offers flexible hours after onboarding. You will map products to customer requirements using manual tagging and machine learning tools, requiring strong judgment and interpretation skills. Success requires technical skills, knowledge of consumer product data, attention to detail, and accountability. YipitData offers a competitive salary, comprehensive benefits, and opportunities for growth.

Requirements

• 1-2yrs of experience developing a strong technical background, including applied Python, Pyspark, and/or SQL skills
• 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
• The 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

Responsibilities

• 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

Preferred Qualifications

• RegEx experience is not mandatory but would be considered a nice-to-have skill
• Experience with data management platforms, product attribution systems, or machine learning tools
• Familiarity with data mapping, tagging, and categorization practices

Benefits

• Vacation time
• Medical insurance
• Parental leave
• Learning reimbursement