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Temporary Data Quality Analyst Jobs (NOW HIRING)

Senior Data Quality Analyst Job Location: Indianapolis IN, 46204 Job Location: Hybrid Contract Duration: 12 Months Note: W2 and C2C candidates both can apply for the role. Candidate must be currently ...

Position Summary Curant Health is seeking a highly skilled Data Quality Analyst with strong expertise in validating data accuracy, completeness, and consistency across multiple data sources. This ...

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 ...

Data Quality Analyst - GenAI Be part of something groundbreaking At AIG, we are making long-term investments in a brand-new, innovative Generative AI team , designed to explore new possibilities for ...

Data Quality Analyst

Andover, MA ยท 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 ...

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 ...

Data Quality Analyst

Andover, MA ยท 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 ...

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 ...

... 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 ...

... 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 ...

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 ...

... 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 ...

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 Jun 29, 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:

Senior Data Quality Analyst

campus4tech

Indianapolis, IN โ€ข On-site

Full-time

Posted 2 days ago


Job description

Job Title: Senior Data Quality Analyst
Job Location: Indianapolis IN, 46204
Job Location: Hybrid
Contract Duration: 12 Months
Note: W2 and C2C candidates both can apply for the role.
Candidate must be currently residing in Indiana location or they must have a local address of Indiana as client is looking for local candidates for this role.
Job Description
The Senior Data Quality Analyst supports the accuracy, completeness, and timeliness of immunization information systems (IIS). This role ensures that data submitted by healthcare providers is validated, standardized, and transformed into actionable insights. A strong foundation in T-SQL is essential for managing large data sets, troubleshooting data quality issues, and developing automated validation processes.
Essential Duties/Responsibilities:
โ€ข Analyze and assess data quality across multiple systems and data sources.
โ€ข Develop and execute data validation and cleansing routines using SQL/T-SQL and other tools.
โ€ข Identify, document, and resolve data quality issues and anomalies.
โ€ข Collaborate with data owners and stewards to define data quality rules and standards.
โ€ข Create and maintain data quality dashboards and reports.
โ€ข Support data governance efforts by contributing to metadata management and data lineage documentation.
โ€ข Participate in root cause analysis and recommend process improvements to prevent recurring data issues.
โ€ข Work with stakeholders to understand data requirements and ensure data meets business needs.
โ€ข Develop data quality dashboards, reports, and performance metrics to track provider compliance and system accuracy.
โ€ข Preparing reports for leadership that effectively communicate trends, patterns, and predictions using relevant data.