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Metadata Assistant Jobs in Arizona (NOW HIRING)

Matthews

Marketing Intern (PHX)

Scottsdale, AZ · On-site

$17/hr

Review metadata and SEO * Utilize Adobe Creative Suite to create social media graphics * Assist the Property Marketing Manager in any miscellaneous tasks as assigned REQUIRMENTS * Ability to work in ...

CPS, LLC

Senior Systems Engineer (SYSMAN)

Sierra Vista, AZ · On-site

$93K - $127K/yr

You will assess SysMan Tier 0 architecture and current hardware limitations and assist the ... Metadata and repository creation for software Delivery Service and IAVM; and .NET development ...

CPS

Senior Systems Engineer (SYSMAN)

Sierra Vista, AZ · On-site

$80 - $100/hr

You will assess SysMan Tier 0 architecture and current hardware limitations and assist the ... Metadata and repository creation for software Delivery Service and IAVM; and .NET development ...

Stantec

Document Controller

Phoenix, AZ · On-site

$60 - $90/hr

Accurate metadata and revision history * Compliance with project, regulatory, and client standards ... Manage and track Requests for Information (RFIs) and other project correspondence * Assist with ...

Onsemi

Oracle EPM Business Administrator

Scottsdale, AZ · On-site

$110 - $140/hr

Configure and maintain metadata, hierarchies, business rules, and security within EPM environments ... to assist with Month-end close processes * Provide end-user support, training, and guidance to ...

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Showing results 21-40

All JobsMetadata JobsMetadata Assistant JobsMetadata Assistant Jobs in Arizona

Metadata Assistant information

See Arizona salary details

$7

$19

$35

How much do metadata assistant jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for metadata assistant in Arizona is $19.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $21.06 per hour, depending on experience, location, and employer.

What is a metadata assistant?

Metadata Assistants are professionals who support the organization, management, and maintenance of metadata in libraries, archives, museums, or digital collections. Their primary role involves creating, editing, and ensuring the accuracy of metadata records, which helps users locate and access resources efficiently. They may also assist with data entry, quality control, and the application of cataloging standards. Metadata Assistants work closely with librarians, archivists, and other information professionals to maintain high-quality information systems.

What are the key skills and qualifications needed to thrive as a metadata assistant, and why are they important?

To thrive as a Metadata Assistant, you need a detail-oriented mindset, familiarity with metadata standards, and a background in library science or information management. Experience with cataloging systems, library management software, and knowledge of standards such as MARC or Dublin Core is commonly required. Strong organizational skills, accuracy, and effective communication help you excel in updating and maintaining metadata records. These skills ensure the accurate organization, retrieval, and accessibility of digital and physical information resources.

What are some common challenges faced by metadata assistants, and how can they be addressed?

Metadata Assistants often encounter challenges such as ensuring data accuracy, maintaining consistency across different cataloging standards, and managing large volumes of information. Staying up-to-date with changing metadata standards and mastering various database systems can also be demanding. To address these challenges, it’s helpful to participate in ongoing professional development, collaborate closely with catalogers and IT staff, and utilize quality control tools to regularly audit and correct metadata entries. Building strong communication skills and being detail-oriented are key assets in this role.

What is the difference between Metadata Assistant vs Data Entry Clerk?

AspectMetadata AssistantData Entry Clerk
Required SkillsKnowledge of metadata standards, attention to detail, basic database skillsTyping accuracy, data input, basic computer skills
Work EnvironmentLibraries, archives, digital repositoriesOffices, administrative settings
CertificationsOften none, but familiarity with cataloging standards helpsNone typically required
Industry UsageLibraries, museums, digital asset managementVarious industries, administrative roles

The main difference is that Metadata Assistants focus on organizing and maintaining digital or physical metadata to improve asset retrieval, while Data Entry Clerks primarily input and manage data accuracy in databases. Metadata Assistants require knowledge of metadata standards and work in specialized environments, whereas Data Entry Clerks perform general data input tasks across various industries.

What are the most commonly searched types of Metadata jobs in Arizona?

The most popular types of Metadata jobs in Arizona are:

What are popular job titles related to Metadata Assistant jobs in Arizona?

For Metadata Assistant jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Metadata Assistant jobs in Arizona look for?

The top searched job categories for Metadata Assistant jobs in Arizona are:

Metadata Assistant jobs near you
Infographic showing various Metadata Assistant job openings in Arizona as of August 2026, with employment types broken down into 39% Full Time, 26% Part Time, 11% Temporary, and 24% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $39,902 per year, or $19.2 per hour.

Campus Graduate Masters Summer Internship Program - 2027 Data Management, Global Merchant & Network

American Express

Phoenix, AZ • On-site

$38.45 - $87/hr

Full-time

Posted 2 days ago

New

American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

25th of 152 rated financial services

Job description


Business Unit / Role Specific Information
Global Merchant & Network Services (GMNS) brings together American Express' merchant and network-related businesses. GMNS supports millions of merchants worldwide and manages relationships with partners across the global payments ecosystem. As part of the GMNS Data Office, the Data Management team helps drive trusted, high-quality data that enables better business decisions, supports regulatory compliance, strengthens risk management, and improves operational effectiveness.
The team partners with business, technology, risk, and governance organizations to improve data quality, define critical data assets, establish data ownership, and support enterprise data management practices across GMNS.
Responsibilities
How Will You Make an Impact in This Role?
  • Develop an understanding of data management/governance, and data quality practices within a global financial services organization.
  • Support initiatives focused on data quality, data ownership, metadata management, and critical data element governance.
  • Research data, data usage, and data issues while working across teams, and provide insights that help improve business processes and decision-making.
  • Assist with the documentation of business requirements, data lineage, controls, and governance processes.
  • Partner with business stakeholders to identify opportunities to improve data accuracy, consistency, and accessibility.
  • Support reporting and dashboard development to monitor data quality and governance metrics.
  • Participate in regulatory, operational risk, and data management initiatives across GMNS.
  • Create presentations and executive-ready materials summarizing findings, recommendations, and project outcomes.
  • Contribute to process improvement efforts that strengthen data controls and governance effectiveness.

Qualifications
Minimum Qualifications
  • Currently enrolled in a full-time Master's degree program, with an expected graduation date between December 2027 and June 2028
  • Strong analytical and problem-solving skills with the ability to evaluate complex information and identify meaningful insights.
  • Has worked with one or more data analysis tools such as Excel, SQL, Python, Power BI, Tableau, or similar technologies.
  • Excellent written and verbal communication skills.
  • Strong organizational and project management capabilities with the ability to manage multiple priorities.
  • Demonstrated ability to collaborate effectively within cross-functional teams.
  • Self-starter with strong attention to detail and a continuous learning mindset.

Preferred Qualifications
  • Academic or professional experience in data management, data analytics, business analytics, information systems, computer science, finance, risk management, or a related field.
  • Basic familiarity with data management/governance, data quality, metadata management, data lineage, or regulatory reporting concepts.

Preferred Areas of Study
  • Data Management/Governance
  • Business Analytics
  • Business Administration
  • Statistics, Data Analytics, Data Science, Information Systems, Computer Science if candidate wants to apply this knowledge/skill via Business Data management work.

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
About Us
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
About the Team
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
  • Competitive base salaries
  • Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counselling support through our Healthy Minds program
  • Career development and training opportunities

For a full list of Team Amex benefits, visit out Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

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