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Temporary Data Quality Analyst Jobs (NOW HIRING)

Sr. Data Quality Analyst Work Mode - Dallas, TX (Onsite) Work Time - 8 AM - 5 PM CST We are seeking a Senior Data Quality Analyst to serve as the Data Steward for a Resilience Analytics Project. This ...

... 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 ...

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 ...

They are seeking a Data Quality Analyst to help annotate and label data for AI training applications. Responsibilities : • Use proprietary annotation tools to label objects, poses, and interactions ...

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 ...

... 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-NET ...

SAP Data Quality Analyst Location: Seattle, WA / Dallas, TX FTE Roles & Responsibilities We are looking for a motivated SAP S/4 HANA Data Quality Analyst with a passion for Data governance Processes ...

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 ...

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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 - GenAI

Data Quality Analyst - GenAI

American International Group, Inc.

Atlanta, GA • On-site

Full-time

Posted 9 days ago


AIG rating

8.4

Company rating: 8.4 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

102nd of 260 rated insurance


Job description

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 how artificial intelligence can be applied in insurance and beyond, and we need your help.
With the support and investment needed to explore new frontiers in generative AI, you'll be working alongside talented colleagues, innovating and leading projects that will transform how we manage risk and serve our customers.
This team is central to our vision of the future and the core of our business offering. We will incorporate best-in-class engineering and product management principles and your guidance and collaboration will be critical to its success. To rapidly advance and innovate, we need your skills and expertise to build world-class products. If you're excited by the opportunity to create meaningful impact at scale, we'd love to hear from you.
Who we are
As a world leader in commercial and personal insurance solutions operating in over 70 countries and jurisdictions, AIG's Global Business Operations & IT team identifies and drives high-quality innovation and cost efficiency in all our processes, systems and operations. The organization ensures we operate as one globally consistent business delivering end-to-end services locally that contribute to our customers' and AIG's success.
We are seeking a detail-oriented Data Quality Analyst to support a strategic data quality initiative. This role is embedded within a development team and is critical for proactively identifying and preventing data issues. By ensuring data meets business rules and quality expectations, you will help prevent project delays, increase user trust, and reduce costs, ensuring smoother deployments and better outcomes for both the development team and end-users.
How you will create an impact
As part of the Data Management and Governance team, the Data Quality Analyst will:
  • Conduct comprehensive data profiling on all source systems (e.g., Snowflake, Foundry, Excel) to identify data characteristics and anomalies.
  • Identify, analyze, and document patterns, inconsistencies, and rule violations within datasets.
  • Work closely with development and data quality teams to define, refine, and validate data rules.
  • Raise, track, and manage data issues that could impact application trust, scalability, or downstream processing.
  • Provide continuous feedback loops to the development team during the development lifecycle, surfacing defects early.
  • Collaborate with various Data Offices and Data Quality (DQ) teams to understand and apply existing business rules.
  • Ensure the consistency and integrity of data quality practices.
  • Contribute to long-term efforts in improving data quality and integrity across all systems.

What you'll need to succeed
  • Proven experience working with large datasets in platforms like Microsoft Excel, Snowflake, and Foundry.
  • Strong analytical mindset and an exceptional attention to detail.
  • The ability to "rip into a spreadsheet" to surface insights and discrepancies.
  • Experience in data profiling or data quality analysis is highly preferred.
  • Comfortable working cross-functionally with developers, product leads, and business users.

Preferred Traits include
  • Curious and persistent in finding the "why" behind data inconsistencies.
  • A self-starter who enjoys solving data puzzles and embraces new challenges.
  • Capable of ramping up quickly on new systems and business domains.
  • Interested in making a strategic, long-term impact on the company's data assets.

#LI-AIG
At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.
Enjoy benefits that take care of what matters
At AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security-as well as your professional development-to bring peace of mind to you and your family.
Reimagining insurance to make a bigger difference to the world
American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us - across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.
Welcome to a culture of inclusion
We're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.
AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.
AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com.
Functional Area:
DT - Data
AIG PC Global Services, Inc.

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About AIG

Sourced by ZipRecruiter

American International Group, Inc. (AIG) is a leading global insurance organization. Building on 100 years of experience, today AIG member companies provide a wide range of property casualty insurance, life insurance, retirement solutions, and other financial services to customers in more than 80 countries and jurisdictions. These diverse offerings include products and services that help businesses and individuals protect their assets, manage risks and provide for retirement security.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1919