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Data Entry Specialist

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Washington (District of Columbia)

Remote

USD 125,000 - 150,000

Full time

30+ days ago

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Job summary

An innovative opportunity awaits as a Data Labeling Analyst in a remote setting! This role focuses on creating and managing labeling processes within data management systems, ensuring compliance with regulatory standards. Ideal candidates will possess a strong background in data quality assurance and the ability to analyze large datasets effectively. You will be part of a dynamic team, where your attention to detail and problem-solving skills will directly impact product decisions. If you are passionate about data and eager to contribute to a forward-thinking organization, this role is perfect for you.

Qualifications

  • Experience in data quality assurance is essential.
  • Bachelor's degree in a related field is required.

Responsibilities

  • Create and modify data labels ensuring compliance with regulations.
  • Label and analyze large data sets to inform product decisions.

Skills

Ability to identify trends within large data sets
Excellent communication skills
Problem solving skills
Team oriented with attention for detail

Education

Bachelor's degree in related field

Job description

Job Description

REMOTE

Data Labeling Analyst

Summary

The main function of a data labeling analyst is to create and manage labeling and change processes within the data management systems. The typical data labeling analyst will have experience in data quality assurance.


Job Responsibilities:
  1. Create and modify data labels ensuring compliance to all regulatory and legal requirements.
  2. Maintain batch records, room logs, product travelers, and inventory records.
  3. Label and analyze large data sets to inform product decisions.
  4. Assess data quality.

Skills:
  1. Ability to identify trends within large data sets.
  2. Excellent communication skills, verbal and written.
  3. Problem solving skills.
  4. Team oriented with attention for detail.

Education/Experience:

Bachelor's degree in related field.

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