Data Specialist

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to...

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery...

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

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.

1-2yrs 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.  
Experience with data management platforms, product attribution systems, or machine learning tools.
Familiarity with data mapping, tagging, and categorization practices.

If you are a proactive, technically skilled individual with a passion for data and product attribution, we invite you to join our dynamic team!  Apply today to help shape the future of data operations for our retail and brand customers.