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Data Tagging Analyst Jobs (NOW HIRING)

Digital Tagging Analyst

Harrisburg, PA · Hybrid

$97K - $115K/yr

By managing tags through Adobe Data Collection and supporting legacy Google Tag Manager ... Collaborate with marketing, analytics, and development teams to define tagging requirements for ...

Digital Tagging Analyst

Harrisburg, PA · On-site

$97K - $115K/yr

By managing tags through Adobe Data Collection and supporting legacy Google Tag Manager ... Collaborate with marketing, analytics, and development teams to define tagging requirements for ...

Overview We are seeking an experienced Data Analyst to support enterprise-wide data governance ... The ideal candidate will have strong experience with data tagging, data governance, data ...

Overview We are seeking an experienced Data Analyst to support enterprise-wide data governance ... The ideal candidate will have strong experience with data tagging, data governance, data ...

Manage the coordination and deployment of data tagging and labeling mechanisms to classify data across the DoW SAP enterprise. Ensure compliance with DoW policies on data classification (e.g., DoDI ...

Manage the coordination and deployment of data tagging and labeling mechanisms to classify data across the DoW SAP enterprise. Ensure compliance with DoW policies on data classification (e.g., DoDI ...

The Senior Data Scientist will focus on software coding, data interoperability, cloud technology, data mesh, and data tagging to enable advanced analytics, decision-support, and mission effectiveness.

The Senior Data Scientist will focus on software coding, data interoperability, cloud technology, data mesh, and data tagging to enable advanced analytics, decision-support, and mission effectiveness.

Sr. Data Engineer - Databricks SME

$117K - $140K/yr

The role involves designing and maintaining data ingestion pipelines, implementing de-duplication strategies, and developing data tagging frameworks to support analytics and governance.

Data Engineer - Databricks SME.

$117K - $140K/yr

The role involves designing and maintaining data ingestion pipelines, implementing de-duplication strategies, and developing data tagging frameworks for analytics and governance. Responsibilities ...

Data Architect

Warner Robins, GA · On-site

$86K - $198K/yr

... data tagging, discovery, and cross‑domain availability. You will create, design, and implement these solutions in collaboration with business analysts and technology teams to support current and ...

... parsing, tagging, analyzing, mapping, managing, and visualizing large sets of data Must have experience in using Python or similar language for conducting data manipulation and data analysis ...

About Willis Re: We combine specialist broking with analytics, modeling and research to help ... Tagging & Cataloguing: Establish and maintain data tagging, classification and cataloguing, so that ...

... analytics and modern cloud platforms. Our Snowflake data lake platform sits at the centre of that ... Tagging & Cataloguing: Establish and maintain data tagging, classification and cataloguing, so that ...

... analytics and modern cloud platforms. Our Snowflake data lake platform sits at the centre of that ... Tagging & Cataloguing:** Establish and maintain data tagging, classification and cataloguing, so ...

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Data Tagging Analyst information

See salary details

$34K

$82.6K

$136K

How much do data tagging analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data tagging analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a data tagging analyst?

Data Tagging Analysts are professionals responsible for labeling and annotating data, such as images, videos, text, or audio, to make it understandable for machine learning algorithms. Their work is crucial for training artificial intelligence systems, as accurately tagged data helps improve the performance and accuracy of AI models. They often use specialized tools to categorize and tag data according to specific guidelines, ensuring consistency and quality. Data Tagging Analysts may work in various industries, including technology, healthcare, and finance, wherever large sets of labeled data are needed for AI applications.

What are the key skills and qualifications needed to thrive as a data tagging analyst, and why are they important?

To thrive as a Data Tagging Analyst, you need strong analytical skills, attention to detail, and a background in data management or related fields, often supported by a relevant degree or practical experience. Familiarity with data labeling platforms, annotation tools, and sometimes basic programming or SQL knowledge is typically required. Excellent communication, collaboration, and time management skills help ensure accuracy and efficiency when working with large datasets or cross-functional teams. These abilities are crucial for delivering high-quality, structured data that powers machine learning and AI initiatives.

What are some common challenges faced by data tagging analysts, and how can they be addressed?

Data Tagging Analysts often encounter challenges such as maintaining consistency when labeling large datasets and interpreting ambiguous data points. To address these issues, it’s important to follow clear annotation guidelines, regularly participate in team discussions to clarify labeling standards, and use quality control tools to catch errors. Collaborating closely with data scientists and project managers can also help resolve uncertainties and ensure the accuracy of tagged data. Staying organized and open to feedback allows analysts to continuously improve their efficiency and data quality.

What is the difference between Data Tagging Analyst vs Data Labeling Specialist?

AspectData Tagging AnalystData Labeling Specialist
Required CredentialsHigh school diploma or equivalent; some roles prefer certifications in data managementHigh school diploma; certifications in data annotation are a plus
Work EnvironmentOffice or remote; collaborative with data science teamsPrimarily remote; focused on data annotation tasks
Employer & Industry UsageTech companies, AI firms, data service providersAI companies, machine learning firms, data annotation services

The Data Tagging Analyst and Data Labeling Specialist roles are similar, focusing on preparing data for AI and machine learning. The main difference lies in the scope and sometimes in the level of responsibility, with Data Tagging Analysts often involved in more complex data management tasks, while Data Labeling Specialists focus on precise annotation work. Both roles are essential in the data preparation pipeline and are commonly found in tech and AI industries.

What cities are hiring for Data Tagging Analyst jobs?

Cities with the most Data Tagging Analyst job openings:

What states have the most Data Tagging Analyst jobs?

States with the most job openings for Data Tagging Analyst jobs include:

What are popular job titles related to Data Tagging Analyst jobs?

For Data Tagging Analyst jobs, the most frequently searched job titles are:

Infographic showing various Data Tagging Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Digital Tagging Analyst

Harrisburg, PA • Hybrid

PSECU
Commercial Banking • 10K+ employees

$97K - $115K/yr

Full-time

Re-posted 8 days ago


PSECU rating

6.7

Company rating: 6.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Members Achieve More isn't just a tagline for us, it's part of everything we do! We're looking for passionate individuals to join our team to help us maintain that focus every day. Want to work somewhere that's remained strong for 90 years, that encourages you to learn, grow, and pursue your dreams? If yes, then read on...

The Digital Tagging Specialist plays a key role in ensuring accurate and reliable data collection across PSECU's digital platforms. This position focuses on implementing and maintaining tagging strategies that support analytics, marketing campaigns, and site performance optimization. By managing tags through Adobe Data Collection and supporting legacy Google Tag Manager configurations, the specialist ensures that data flows correctly into reporting tools for actionable insights.
The role involves close collaboration with marketing, analytics, and development teams to define tagging requirements, perform quality assurance, and maintain compliance with privacy standards. This position is ideal for someone who enjoys technical problem-solving, attention to detail, and contributing to data-driven decision-making in a member-focused organization.
Schedule: Monday - Friday 8:00am - 4:00pm, two days a week onsite.

In this position, you will

  • Maintain tags in Google Tag Manager (GTM) to support analytics, marketing pixels, and conversion tracking across PSECU's digital properties.
  • Configure and validate HubSpot tracking for campaigns, forms, and integrations to ensure accurate data collection.
  • Collaborate with marketing, analytics, and development teams to define tagging requirements for user behavior tracking and campaign measurement.
  • Perform quality assurance (QA) and User Acceptance Testing (UAT) on websites, pixels, and tags to confirm proper data flow into reporting tools.
  • Conduct regular audits and resolve tracking gaps while ensuring compliance with privacy regulations (e.g., GDPR, CCPA).
  • Document tagging processes and provide technical support to stakeholders, promoting best practices and consistency in implementation.
  • Other duties as assigned.

Qualifications:

Associates (Required)3-6 years' of hands-on experience in digital marketing technologies and tools, particularly around tag management (Adobe Launch, Tealium or GTM) and web analytics (Adobe Analytics)| Required Any equivalent combination of experience and education.| RequiredCSS HTML, CSS Scripting, Customer Data, JavaScript, SAP Customer Data PlatformAdobe Certification - Adobe

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