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Remote Publishing Analyst information

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$29.5K

$71.5K

$123K

How much do remote publishing analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote publishing analyst in the United States is $71,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $79,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Publishing Analyst vs Remote Content Coordinator?

AspectRemote Publishing AnalystRemote Content Coordinator
Required CredentialsBachelor's in Communications, Journalism, or related field; familiarity with publishing toolsBachelor's in Communications, Marketing, or related field; experience with content management systems
Work EnvironmentRemote, often collaborating with editorial and marketing teamsRemote, coordinating content schedules and publishing workflows
Employer & Industry UsagePublishing houses, media companies, digital content firmsMedia agencies, corporate marketing teams, publishing platforms
Common Search & ComparisonYesYes

The Remote Publishing Analyst and Remote Content Coordinator roles share similarities in their remote work settings and industry usage. While the Publishing Analyst focuses on analyzing publishing data and optimizing workflows, the Content Coordinator manages content schedules and ensures timely publishing. Both roles require strong communication skills and familiarity with publishing tools, but their core responsibilities differ in focus and scope.

What is a Remote Publishing Analyst?

A Remote Publishing Analyst is a professional who manages, analyzes, and optimizes the digital publishing process for organizations while working from a remote location. Their responsibilities often include monitoring content performance, coordinating with authors and editors, ensuring adherence to publishing standards, and using data analytics to improve content strategies. They play a critical role in helping publishers make data-driven decisions to enhance audience engagement and streamline content workflows. Remote Publishing Analysts commonly use tools like content management systems (CMS), analytics platforms, and collaboration software to perform their duties efficiently.

What are the key skills and qualifications needed to thrive as a Remote Publishing Analyst, and why are they important?

To thrive as a Remote Publishing Analyst, you need strong analytical skills, attention to detail, and a background in publishing or content management, often supported by a relevant degree. Familiarity with publishing platforms (like WordPress), content management systems (CMS), analytics tools, and sometimes certifications in digital publishing or analytics are typically required. Excellent communication, time management, and self-motivation are crucial soft skills for collaborating remotely and managing multiple projects. These skills ensure accurate content delivery, efficient workflow, and effective teamwork in a distributed environment.

How does a Remote Publishing Analyst typically collaborate with cross-functional teams and stakeholders?

As a Remote Publishing Analyst, you’ll frequently work with editorial, marketing, and technology teams to ensure the timely and accurate release of digital content. Collaboration often occurs through virtual meetings, project management platforms, and shared documentation, enabling seamless communication despite remote settings. You’ll play a key role in coordinating content schedules, analyzing publication metrics, and providing feedback to improve processes. Being proactive in communication and adept at using digital collaboration tools are essential for success in this remote environment.
More about Remote Publishing Analyst jobs
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What are the most commonly searched types of Publishing Analyst jobs? The most popular types of Publishing Analyst jobs are:
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What job categories do people searching Remote Publishing Analyst jobs look for? The top searched job categories for Remote Publishing Analyst jobs are:
Remote Publishing Analyst jobs near you

Machine Learning Research Scientist (Remote)

Moody's Analytics

New York, NY • On-site, Remote

Full-time

Re-posted 2 days ago

Job description

In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning systems. Our engineers and researchers are responsible for architecting and developing these ML services end-to-end overcoming unique challenges that involve building systems that have high throughput availability, consistency, and low latency. The Predictive Analytics AI Group is the central group in Moody's Analytics comprising of researchers and engineers working together to build data-driven customer-facing products, as well as the necessary infrastructure to support the ML services following the industry leading practices. The group has worked on and built some award-winning AI products like Compliance Catalyst, Adverse Media Monitoring, Coronapulse, Quiqspread, News Edge 2.0, ESG and has participated in various internal automation initiatives. The group also regularly publish and present their work in top-tier academic and industry conferences. We have a flexible work environment and allow remote work depending on one's personal choice. 

Broadly, we are looking for colleagues who are passionate about: 

  • Natural language processing 
  • Information retrieval 
  • Information extraction 
  • Graph Neural Networks 
  • Recommender systems 
  • Knowledge graphs 
  • Explainable AI 

 

We'll trust you to: 
 

  • Collaborate with colleagues on production systems and applications 
  • Design, experiment, and evaluate algorithms as well as models using PyTorch, scikit-learn, Tensorflow, HuggingFace 
  • Work on POCs and research prototypes 
  • Provide thought leadership in machine learning 
  • Represent Moody's Analytics at scientific and industry conferences 
  • Lead collaboration with colleagues and academia to publish research findings in leading academic venues such as ACL, EMNLP, NAACL-HLT, AAAI, KDD, CIKM, SIGIR, ECIR 
     

You'll need to have: 

  • Ph.D. in CS, ML, Math, Statistics, Engineering, Quant, or relevant industry experience. 
  • Publication record in top-tier academic conferences and journals 
  • Proficiency in modern programming languages such as Python 
  • Proficiency in leading research projects 

Nice to have: 

  • Experience with MLOPs technologies and workflows 
  • Experience in working with engineering teams on taking research prototypes to production
Employment Type: FULL_TIME

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