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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 ...

Data Quality Analyst Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA ...

... analytics, BI, and AI/ML readiness. Mature data quality and governance processes from adโ€‘hoc to ... If eligible, the benefits available for this temporary role may include the following: โ€ข Medical ...

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 ...

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 ...

Role: Data Quality Analyst - Senior Associate Experience: 3 - 5 yrs Location: Hyderabad Summary The Data Quality Analystis responsible forensuring endtoend traceability and integrity of delivery ...

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 ...

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 ...

Annotate data accurately, ensuring it adheres to set guidelines. * Conduct manual quality analysis of model results. * Recognize error patterns and report anomalies for further investigation.

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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 9, 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:
Data Quality Analyst

Data Quality Analyst

Avani Technology Solutions, Inc.

Newport Beach, CA โ€ข On-site

Full-time

Posted 12 days ago


Job description

Role: Data Quality Analyst
Location: Newport Beach, CA
Duration: 12 Months
Top Three Skills:
3+ years of experience as an ETL QA focused on data quality, data validation, and running query optimization/performance tuning
Experience with Informatica ETL tools for back end data validation
Experience overseeing data integrity across multiple client facing applications (preferably in banking/financial services)
Job Description:
We are seeking a Data Analyst to work on the projects focusing on the development of PIMCO's data quality program, central to the analytics of the organization in providing excellence to our clients. The candidate should demonstrate an advanced level of understanding of data quality, data architecture, data processing, and RDBMS systems. Candidate should be able to lead the data quality program, develop the testing plans, implement the test cases, monitor for data anomalies, escalate and follow up on data issues.
Primary responsibilities will include:
โ€ข Responsible for ensuring the data integrity levels of various client facing applications
โ€ข Provide a high level of data quality awareness across multiple teams
โ€ข Report development and analysis in order to find defects and propose improvements
โ€ข Work with data strategy, communications, and operations teams to drive advanced data quality governance program
โ€ข Bring a curious and inquisitive approach to solving complex data quality challenges
โ€ข Drive execution and provide automation improvements to drive efficiency
โ€ข Support development of organizational data quality to drive meaningful analytics
โ€ข Designs, develops, and analyzes the results of data queries necessary to identify data quality issues and presents results in an easy-to-understand format to end users
โ€ข Works with business stakeholders to gather requirements, conduct data profiling and track metrics necessary to monitor data quality
โ€ข Perform regression testing at critical junctions to ensure preservation of existing data integrity
โ€ข Root cause analysis
โ€ข Dataset and data process quality control
โ€ข Ensure that the highest level of system and data confidentiality, integrity and data availability is maintained
โ€ข Solves complex problems and develops innovative solutions
โ€ข Provides recommendations and plans for improvement
โ€ข Executes, maintains, and reviews data QC processes benchmarking against industry best practices
Position Requirements
โ€ข 3+ years' experience in a data quality focused role
โ€ข Extremely meticulous in approach to work
โ€ข Outstanding attention to detail
โ€ข Experienced in query optimization and performance tuning for OLTP and Date Warehouse
โ€ข Knowledge of Data Architecture (conceptual, logical, physical, transactional, dimensional, and Star/Snowflake modeling)
โ€ข Excellent interpersonal and communication skills are essential
โ€ข Ability to write technical documentation materials
โ€ข Experience in banking or financial services preferred
โ€ข Working Python knowledge is a plus