Data Specialist

2 months, 4 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 category structures and product attribution requirements.
  • Map products to customer category needs using manual tagging and machine learning tools.
  • Apply judgment and interpretation to ensure data mapping matches 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.
  • Leverage technical skills to enhance data operations processes and tools.
  • Maintain a high level of accuracy and attention to detail throughout the data mapping process.
  • Own project execution, including meeting 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 working with retail or brand data.
  • Exceptional attention to detail and a focus on high-quality, accurate results.
  • Excellent 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.
  • Based in India and able to overlap with US time zones during onboarding, with availability for meetings and check-ins afterward.

Benefits

  • Competitive salary.
  • Flexible work hours.
  • 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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