Data Specialist

5 hours, 45 minutes 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 category structures and product attribution requirements.
  • Map products to customer-specific category needs using manual tagging and machine learning tools.
  • Apply judgment and interpretation to ensure mappings align with customer specifications and business goals.
  • Collaborate with cross-functional teams to plan and deliver projects on time.
  • Monitor and improve product attribution processes to increase efficiency and quality.
  • Use technical skills to enhance existing data operations processes and tools.
  • Maintain a high level of accuracy and attention to detail across the data mapping workflow.
  • Take ownership of project execution, including deadlines and client expectations.

Requirements

  • 1-2 years of experience building a technical background with applied Python, PySpark, and/or SQL skills.
  • RegEx experience is preferred but not required.
  • Proficiency in data analysis, tagging systems, and machine learning tools.
  • Knowledge of consumer product data and experience with retail or brand data.
  • Exceptional attention to detail and commitment to 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.
  • Fully remote availability based in India, with several hours of overlap with US time zones during onboarding and availability for meetings after training.

Benefits

  • Competitive salary.
  • 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

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