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How much do cognitive analytics jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for cognitive analytics in the United States is $52.26, according to ZipRecruiter salary data. Most workers in this role earn between $37.98 and $65.14 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Cognitive Analytics, and why are they important?

To thrive in Cognitive Analytics, you need a solid background in data analysis, machine learning, and statistics, often supported by a degree in computer science, data science, or a related field. Familiarity with programming languages such as Python or R, as well as experience with analytics platforms like TensorFlow or IBM Watson, is typically required. Strong problem-solving abilities, critical thinking, and effective communication are crucial soft skills for interpreting results and conveying insights to stakeholders. These competencies enable professionals to extract actionable intelligence from complex data, driving informed business decisions and innovation.

What careers are in cognitive psychology?

Careers in cognitive psychology include roles such as research psychologists, clinical psychologists, neuropsychologists, and cognitive scientists. These professionals study mental processes like perception, memory, and decision-making, often working in academic, healthcare, or research settings and utilizing tools like neuroimaging and statistical analysis.

What is cognitive analytics?

Cognitive analytics is the use of advanced technologies, such as artificial intelligence (AI), machine learning, and natural language processing (NLP), to analyze large volumes of complex data. It enables systems to mimic human thought processes, interpret unstructured data, and provide insights that support decision-making. Cognitive analytics goes beyond traditional analytics by learning from data patterns, adapting to new information, and delivering more accurate and context-aware results for businesses.

Is 40 too late for data science?

Cognitive analytics roles often value skills and experience over age, and many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with understanding machine learning concepts, can help regardless of age. Continuous learning and relevant certifications can also improve job prospects in the field.

How much do cognitive scientists make in the US?

Cognitive scientists in the US typically earn a median annual salary of around $70,000 to $100,000, depending on experience, education, and location. Salaries can increase with advanced degrees, research experience, and specialized skills in areas like data analysis and experimental design.

How does a Cognitive Analytics professional typically collaborate with cross-functional teams to implement data-driven solutions?

Cognitive Analytics professionals frequently work alongside data scientists, software engineers, business analysts, and domain experts to develop and deploy intelligent data solutions. Their role often involves translating complex analytical findings into actionable insights for non-technical stakeholders and ensuring that machine learning models align with business objectives. Effective communication and teamwork are essential, as projects may require integrating analytics into existing systems, refining data pipelines, and iterating on solutions based on feedback from end-users and leadership.

What is a cognitive analyst?

A cognitive analyst is a professional who applies cognitive science principles and advanced data analysis techniques to interpret complex information, often using artificial intelligence and machine learning tools. They work to extract insights from data to support decision-making and improve business or technological processes.

What is the difference between Cognitive Analytics vs Data Analyst?

AspectCognitive AnalyticsData Analyst
Required CredentialsTypically requires degrees in data science, AI, or related fields; certifications in analytics toolsUsually requires degrees in statistics, mathematics, or related fields; certifications in Excel, SQL, or data visualization
Work EnvironmentOften involves working with AI systems, machine learning models, and complex algorithmsPrimarily focuses on data collection, cleaning, and basic analysis using spreadsheets and BI tools
Industry UsageUsed in AI-driven decision-making, automation, and advanced analytics projectsCommon in reporting, business insights, and operational analysis

While both roles analyze data, Cognitive Analytics focuses on leveraging AI and machine learning to interpret complex data patterns, whereas Data Analysts primarily perform traditional data processing and reporting tasks. Understanding these differences helps organizations choose the right skill set for their analytics needs.

More about Cognitive Analytics jobs
What job categories do people searching Cognitive Analytics jobs look for? The top searched job categories for Cognitive Analytics jobs are:
Cognitive Analytics jobs near you
Infographic showing various Cognitive Analytics job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $108,693 per year, or $52.3 per hour.
DevOps Engineer - Remote (WFH)

DevOps Engineer - Remote (WFH)

COGNITIVE MEDICAL SYSTEMS INC

Phoenix, AZ • On-site

$130K - $160K/yr

Full-time

Posted 4 days ago

Be an early applicant

Job description

About Cognitive Medical Systems:

Cognitive is an IT and software engineering services company dedicated to elevating the quality, speed and delivery of today’s US government healthcare programs. With a wealth of clinical expertise and hands-on experience, our team understands the significant challenges our government clients—and their customers—face every day. This real-world experience equips us to develop IT solutions that seamlessly connect all facets of healthcare delivery. At Cognitive, we’re guiding government agencies to the forefront of technology innovation in healthcare delivery.

Position Overview:

The DevOps Engineer is part of the Cognitive team supporting the VA CCN contract for TriWest Healthcare Alliance. This role is responsible for ensuring the reliability, stability, performance, and continuous improvement of enterprise applications supporting critical business operations. 

This individual will serve as the technical lead for application operations, production support, database maintenance, release management, and deployment activities. The role requires a strong operational mindset, the ability to proactively identify and resolve issues, and the technical expertise to support application growth as transaction and claims volumes increase. 

The ideal candidate possesses a blend of operations, DevOps, database administration, deployment management, and software development experience, with working knowledge of JavaScript and modern development practices. 

This is a remote position; however, Cognitive Medical Systems hires only in the following designated U.S. states based on contract and business requirements: VA, DC, MD, TN, FL, AZ, CO, OR, and TX.

Key Responsibilities:

Application Operations & Production Support 

  • Monitor, support, and maintain production applications to ensure system availability, reliability, and performance.  
  • Review application, server, and system logs to proactively identify, troubleshoot, and resolve issues.  
  • Perform root cause analysis and implement corrective actions to prevent recurring incidents.  
  • Respond to production incidents, outages, and escalations in a timely manner.  
  • Establish operational monitoring, alerting, and support procedures.  
  • Partner with development teams to improve application resiliency, observability, and supportability.  

Database Administration & Performance Management 

  • Manage and maintain Microsoft SQL Server environments supporting enterprise applications.  
  • Monitor database performance, storage utilization, indexing strategies, and query optimization.  
  • Develop and execute database maintenance plans to support increasing claims and transaction volumes.  
  • Proactively identify capacity constraints and implement scalability improvements.  
  • Support database backups, recovery procedures, and data integrity initiatives. 
  • Collaborate with development teams on data architecture and performance optimization.  

Deployment & Release Management 

  • Lead and manage application deployments across Development, Test, Staging, and Production environments.  
  • Develop, document, and continuously improve deployment processes and release procedures.  
  • Coordinate release activities across technical teams and stakeholders.  
  • Validate deployment readiness and execute rollback procedures when necessary.  
  • Maintain deployment schedules and ensure minimal disruption to business operations.  
  • Support CI/CD processes and release automation efforts.  

DevOps & Software Engineering Support 

  • Support an Agile, Lean, and SAFe-based environment utilizing DevSecOps, CI/CD, and related methodologies. 
  • Manage source control repositories using GitHub or Bitbucket. 
  • Create, maintain, and optimize automated build and deployment pipelines.  
  • Collaborate on policies, standards, governance, and best practices for software development and operational support.  
  • Partner with developers to improve application performance, maintainability, and deployment efficiency.  
  • Utilize development experience to troubleshoot application issues and support code-level analysis.  
  • Contribute to application enhancements and technical debt reduction activities.  
  • Support JavaScript-based application development efforts as needed.

Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline.  
  • Eight (8) years of additional relevant experience may be substituted for education.  
  • Minimum of five (5) years of experience supporting enterprise applications in an operations, DevOps, production support, or engineering role. 
  • Experience supporting production environments with high-volume transactional systems. 
  • Experience leading application deployments and release management activities. 
  • Experience supporting Microsoft-based enterprise applications and infrastructure.  
  • Experience conducting in-depth troubleshooting, triage, root cause analysis, and continuous service improvement activities. 
  • Ability to obtain a Government Public Trust clearance.  
  • U.S. Citizenship required.  

Why Join Us?

  • Be part of a mission-driven organization making a difference in healthcare IT.
  • Collaborate with innovative and passionate professionalsthat are there to support you at every turn.
  • Enjoy a supportive work/life balance with the flexibility of a 100% remote company.
  • Benefit from opportunities for growth and development in a dynamic environment.