[Hiring] Data Specialist @YipitData (Alternative)

Role Description

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.

• 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.

Qualifications

• 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 skill.
• 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.

Requirements

• Experience with data management platforms, product attribution systems, or machine learning tools.
• Familiarity with data mapping, tagging, and categorization practices.

Benefits

• Flexible work hours and flexible vacation.
• A generous 401K match.
• Parental leave.
• Team events.
• Wellness budget.
• Learning reimbursement.
• Competitive salary.