Data Specialist

We are seeking a Data Specialist to play a critical role in developing custom product attribution based on unique customer needs. As a Data Specialist, you will work with corporate retail and brand customers to understand their category structures and product attribution requirements. You will execute the mapping of products to customers' category needs, utilizing both manual tagging and machine learning tools.

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.

Requirements:

• 1-4 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.

Preferred Skills:

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

What We Offer:

• Comprehensive benefits, perks, and a competitive salary.
• Flexible work hours, flexible vacation, parental leave, team events, wellness budget, learning reimbursement, and more.
• An environment focused on ownership, respect, and trust, where growth is determined by impact, not tenure.