Data Specialist

1 month, 3 weeks ago
Full-time
Junior
Data Science and Analytics
YipitData

YipitData

YipitData specializes in market research for the disruptive economy by analyzing billions of data points daily to deliver accurate and timely insights on over 1,000 companies, aiding investors in making informed decisions and helping businesses enhance...

Professional Services
251-1K
Founded 2013
$492M raised

Description

  • Work with corporate retail and brand customers to understand their category structures and product attribution requirements.
  • Execute product-to-category mapping using manual tagging and machine learning tools.
  • Apply judgment and interpretation to align data mapping with customer specifications and business goals.
  • Collaborate with cross-functional teams to plan and deliver projects on time.
  • Continuously monitor and improve product attribution processes for better efficiency and quality.
  • Use technical skills to enhance existing data operations processes and tools.
  • Maintain a high level of attention to detail throughout the mapping process.
  • Take ownership of project execution, deadlines, and client expectations.

Requirements

  • 1-2 years of experience developing a technical background with applied Python, PySpark, and/or SQL skills.
  • RegEx experience is not required but is 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 and a focus on high-quality, accurate results.
  • Strong problem-solving and critical-thinking skills.
  • Ability to manage multiple tasks and projects while maintaining accuracy.
  • Strong communication and collaboration skills for working 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 is preferred.
  • Familiarity with data mapping, tagging, and categorization practices is preferred.
  • Fully remote role based in India with several hours of overlap with US time zones during onboarding and training, and ongoing availability for meetings and check-ins with US colleagues.

Benefits

  • Competitive salary with a comprehensive compensation package.
  • Flexible work hours and flexible vacation.
  • Generous 401(k) match.
  • Parental leave.
  • Team events.
  • Wellness budget.
  • Learning reimbursement.

Interested in this position?

Apply directly on the company website

Apply Now

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