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Temporary Data Quality Analyst Jobs (NOW HIRING)

Welocalize, Inc.

Data Quality Analyst

New York, NY

Annotate data accurately, ensuring it adheres to set guidelines. Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize error patterns and report anomalies ...

Collabera

Data Quality Analyst

Plano, TX

CW Customer Data Quality Analyst Location: Plano, TX Duration: 6+ Months Pay Rate: OPEN to discuss on W2 basis This is a business (as opposed to technical) role, A recent college grad with maybe a ...

Watts

Data Quality Analyst

Andover, MA · On-site

$24 - $30/hr

Scope of Position The Data Quality Analyst is accountable for ensuring the accuracy, completeness, consistency, and reliability of our data assets. They play a key role in maintaining high data ...

Watts

Data Quality Analyst

Andover, MA · On-site

$24 - $30/hr

Scope of Position The Data Quality Analyst is accountable for ensuring the accuracy, completeness, consistency, and reliability of our data assets. They play a key role in maintaining high data ...

Welocalize, Inc.

Data Quality Analyst

New York, NY

Annotate data accurately, ensuring it adheres to set guidelines. Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize error patterns and report anomalies ...

IQVIA

Senior Data Quality Analyst

Burlington, MA · On-site +1

Position Summary As a Senior Data Quality Analyst at Cedar Gate Technologies, an IQVIA business, you will play a critical role in ensuring the accuracy, integrity, and reliability of healthcare data ...

New

IQVIA

Senior Data Quality Analyst

Burlington, MA · On-site +1

Position Summary As a Senior Data Quality Analyst at Cedar Gate Technologies, an IQVIA business, you will play a critical role in ensuring the accuracy, integrity, and reliability of healthcare data ...

New

LOG-NET, Inc.

Data Quality Analyst

Atlanta, GA · On-site

... quality control standards are maintained and setting and maintaining agreed upon service level of ... Compile and analyze data related to business'/EDI issues Be able to fully understand LOG-NET ...

IQVIA, Inc.

Senior Data Quality Analyst

Burlington, MA · On-site

Position Summary As a Senior Data Quality Analyst at Cedar Gate Technologies, an IQVIA business, you will play a critical role in ensuring the accuracy, integrity, and reliability of healthcare data ...

New

LOG-NET, Inc.

Data Quality Analyst

Atlanta, GA · On-site

... quality control standards are maintained and setting and maintaining agreed upon service level of ... Compile and analyze data related to business'/EDI issues Be able to fully understand LOG-NETs ...

Figure

Data Quality Analyst

San Jose, CA · On-site

$30/hr

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data for AI training applications. Responsibilities: * Use proprietary annotation tools to label objects ...

BOK Financial

Senior Data Quality Analyst

Dallas, TX · On-site

The Senior Data Quality Analyst is responsible for supporting and executing enterprise-level data quality initiatives and plays a critical role in advancing a strong, sustainable data quality culture ...

Figure

Data Quality Analyst

San Jose, CA

$30/hr

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data for AI training applications. Responsibilities: * Use proprietary annotation tools to label objects ...

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Temporary Data Quality Analyst information

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How much do temporary data quality analyst jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for temporary data quality analyst in the United States is $41.44, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $54.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Temporary Data Quality Analyst, and why are they important?

To thrive as a Temporary Data Quality Analyst, you need strong analytical skills, attention to detail, and a background in data management or a related field. Familiarity with data quality tools (such as Informatica or Talend), SQL, and spreadsheet software is typically required, along with knowledge of data governance standards. Exceptional problem-solving abilities, adaptability, and effective communication set top performers apart in this role. These competencies ensure accurate data validation, enhance data integrity, and support timely decision-making within organizations.

What is the difference between Temporary Data Quality Analyst vs Data Analyst?

AspectTemporary Data Quality AnalystData Analyst
CertificationsOften requires certifications in data quality or related toolsTypically requires a degree in data science, statistics, or related fields
Work EnvironmentTemporary, project-based roles within data management teamsFull-time or contract roles across various industries
Employer UsageUsed by companies focusing on data integrity and quality projectsUsed broadly for data interpretation, reporting, and analysis

The main difference is that a Temporary Data Quality Analyst focuses on ensuring data accuracy and integrity on a short-term basis, often within data management projects. In contrast, a Data Analyst typically performs broader data analysis, reporting, and insights across ongoing business functions. Both roles require strong analytical skills, but their focus and scope differ.

What are some common challenges faced by Temporary Data Quality Analysts when integrating into new teams?

Temporary Data Quality Analysts often join teams with established processes and data systems, which can make it challenging to quickly get up to speed. They may need to rapidly learn company-specific data standards, tools, and workflows while building trust with permanent team members. Additionally, they are frequently expected to identify and resolve data inconsistencies within tight deadlines. Strong communication and adaptability are essential for effectively collaborating across departments and ensuring data quality goals are met during their assignment.

What are Temporary Data Quality Analysts?

Temporary Data Quality Analysts are professionals hired on a short-term basis to review, clean, and maintain the accuracy and integrity of data within an organization. They identify data inconsistencies, errors, and gaps, and often work on special projects or during periods of high data processing demand. Their responsibilities may include running quality checks, validating data sets, and collaborating with other teams to implement data quality standards. These roles are typically project-based and may last from a few weeks to several months.
What cities are hiring for Temporary Data Quality Analyst jobs? Cities with the most Temporary Data Quality Analyst job openings:
What are the most commonly searched types of Data Quality Analyst jobs? The most popular types of Data Quality Analyst jobs are:
What states have the most Temporary Data Quality Analyst jobs? States with the most job openings for Temporary Data Quality Analyst jobs include:
Temporary Data Quality Analyst jobs near you
Data Quality Analyst

Data Quality Analyst

Welocalize, Inc.

New York, NY

Full-time

Re-posted 3 hours ago

Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

361st of 451 rated business services

Job description

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.

MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

  • Update training and test model databases with new or amended synthetic textual and image data.
  • Modify and refine machine learning data creation, annotation, and rating guidelines.

Model Training and Evaluation:

  • Initiate model training processes using internal tools and command-line interfaces.
  • Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Data Management and Annotation:

  • Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
  • Handle data efficiently, ensuring its integrity throughout the workflow.
  • Engage in data relevance tasks, ensuring data sets are aligned with project goals.
  • Annotate data accurately, ensuring it adheres to set guidelines.

Quality Assurance and Analysis:

  • Conduct manual quality analysis of model results.
  • Recognize error patterns and report anomalies for further investigation.
  • Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
  • Implement basic quality control measures and ensure the reliability of processed data.
  • Utilize intermediate data analysis techniques to extract insights and inform decision-making.
  • Arbitrate discrepancies effectively, ensuring consistent data quality.

Linguistic and NLP Tasks:

  • Apply basic knowledge of natural language processing and linguistics to data processing tasks.
  • Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

  • Ability to work in a fast-paced, collaborative environment.
  • Excellent communication skills

Skills & Knowledge:

  • Familiarity with command-line tools and interfaces.
  • Strong analytical skills with the ability to identify patterns and anomalies.

Additional Information:

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details:

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