1

Learning Analytics Jobs in Washington (NOW HIRING)

Experience with LMS integrations (SSO, HR/LMS connectors), automated reporting pipelines, and learning analytics. * Familiarity with SCORM/HTML5 authoring tools, LMS admin scripting, and content ...

LMS Administrator

Herndon, VA · On-site

$66K - $106K/yr

Experience with LMS integrations (SSO, HR/LMS connectors), automated reporting pipelines, and learning analytics. * Familiarity with SCORM/HTML5 authoring tools, LMS admin scripting, and content ...

LMS Administrator

Herndon, VA · On-site

$66K - $106K/yr

Experience with LMS integrations (SSO, HR/LMS connectors), automated reporting pipelines, and learning analytics. * Familiarity with SCORM/HTML5 authoring tools, LMS admin scripting, and content ...

next page

Showing results 1-20

Learning Analytics information

See Washington salary details

$25

$44

$68

How much do learning analytics jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for learning analytics in Washington is $44.76, according to ZipRecruiter salary data. Most workers in this role earn between $32.69 and $48.99 per hour, depending on experience, location, and employer.

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

To thrive in Learning Analytics, you need strong analytical skills, experience with data analysis, and a background in educational research or instructional design, typically supported by a relevant degree. Familiarity with Learning Management Systems (LMS), statistical tools like R or Python, and certifications in data analytics are commonly expected. Excellent communication skills, problem-solving abilities, and a collaborative mindset help professionals convey insights and work effectively with educators and administrators. These skills are essential for interpreting educational data, driving improvements in teaching and learning, and supporting data-driven decisions in academic environments.

What is a Learning Analytics job?

A Learning Analytics job involves collecting, analyzing, and interpreting data related to learners' performance and educational experiences. Professionals in this field use data-driven insights to improve teaching strategies, personalize learning experiences, and enhance institutional decision-making. They work with various analytical tools, machine learning models, and data visualization techniques to identify patterns and trends. This role is common in educational institutions, corporate training programs, and EdTech companies.

What are typical daily responsibilities for someone working in Learning Analytics?

Professionals in Learning Analytics typically spend their days collecting, cleaning, and analyzing educational data to identify patterns that can improve student outcomes and learning processes. They work closely with faculty, instructional designers, and IT teams to generate reports, visualize trends, and advise on data-backed strategies for curriculum improvement. Day-to-day tasks also involve maintaining data integrity, developing dashboards, and communicating findings in accessible ways to stakeholders. Collaboration and ongoing learning are integral, as the field continually evolves with advances in education technology and analytical methods.

What are the 4 types of learning analytics?

Learning analytics can be categorized into four types: descriptive analytics, which analyze past learning data; diagnostic analytics, which identify reasons for learning outcomes; predictive analytics, which forecast future performance; and prescriptive analytics, which recommend actions to improve learning. These types help educators and analysts understand and enhance educational experiences using data analysis tools and techniques.

Is AI replacing data analysts?

Learning Analytics professionals analyze educational data to improve learning outcomes and often use AI tools to automate data processing and generate insights. While AI can handle routine tasks, data analysts are still essential for interpreting complex data, making strategic decisions, and ensuring data quality. AI complements their work but does not fully replace the need for skilled analysts in the field.

Is 40 too late for data science?

Learning Analytics is a field that values skills and experience over age; many professionals transition into data science at 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Age should not be a barrier to entering data-driven roles if you focus on continuous learning and building a strong portfolio.

What does a learning analyst do?

A learning analyst evaluates educational data to improve learning outcomes by analyzing student performance, engagement, and instructional effectiveness. They use data analysis tools and techniques to identify trends and recommend strategies for curriculum development, often working with learning management systems and reporting software.
What are the most commonly searched types of Learning Analytics jobs in Washington? The most popular types of Learning Analytics jobs in Washington are:

Learning & Workforce Capability Manager

Na Ali'i Consulting & Sales, LLC.

Arlington, VA

Full-time

Posted 10 days ago


Job description

Overview

Na Alii is seeking a Learning & Workforce Capability Manager to lead the company's enterprise learning strategy,  workforce development programs, and capability-building initiatives..  This role will shape how employees develop critical leadership, technical, operational, and AI-enabled skills needed to support business growth, customer success, and organizational readiness. The successful candidate will drive enterprise learning programs, modernize workforce development practices, and foster a culture of continuous learning across the company.

This position serves as the enterprise lead for learning and workforce development initiatives across all business functions and oversees the organization's  training investments, and workforce capability programs.

The Learning & Workforce Capability Manager will partner with Nakupuna's Shared Services, business leaders, and subject matter experts to ensure employees have the skills and knowledge needed to support business objectives and contract requirements. This role will oversee learning technologies, training governance, workforce capability initiatives, and enterprise training investments while supervising a Training Specialist.

Responsibilities

The following reflects management's definition of essential functions for this job but does not restrict the tasks that may be assigned. Management may assign additional duties and responsibilities to this job at any time.

Enterprise Learning Strategy & Governance

  • Develop and execute an enterprise learning strategy aligned with business goals, workforce needs, and contract requirements
  • Maintain the company's training roadmap and coordinate learning initiatives across PMO, HR, IT, Security, Compliance, Operations, and service delivery
  • Partner with leadership to identify critical skill gaps and development priorities and implement scalable development solutions
  • Manage training budgets, vendor relationships, and learning resources to maximize effectiveness and cost efficiency
  • Oversee and evolve Nakupuna University as the company's central learning platform

Leadership Development & Workforce Capability

  • Lead leadership development programs for people managers, emerging leaders, and senior leaders
  • Support employee development through technical, professional, and role-based learning programs
  • Develop initiatives that strengthen adaptability, critical thinking, decision-making, and human-AI collaboration
  • Partner with business leaders to identify future skill requirements and workforce development priorities

AI Enablement & Learning Technology

  • Lead enterprise AI upskilling initiatives and promote responsible adoption of AI tools across the workforce
  • Develop AI literacy programs focused on practical application, prompt engineering, validation, and ethical use
  • Establish governance and best practices for AI-enabled learning and workforce development
  • Oversee Cornerstone LMS and related learning technologies to ensure an effective learner experience
  • Integrate learning resources with collaboration, knowledge management, and productivity platforms

Training Effectiveness & Compliance

  • Ensure effective delivery of compliance, security, systems, and contract-specific training requirements
  • Conduct training needs assessments and evaluate program effectiveness
  • Establish metrics and dashboards to measure participation, capability growth, workforce readiness, and return on investment
  • Use data and analytics to continuously improve learning outcomes and training efficiency

Leadership & Collaboration

  • Supervise and develop the Training Specialist
  • Drive adoption of learning programs, technologies, and continuous learning practices across the organization
  • Serve as a strategic advisor to leadership on workforce development, capability planning, and organizational readiness

Work Environment / Travel

  • This position requires occasional travel to support training initiatives, leadership sessions, and company meetings
Qualifications

Education/Experience:

  • Bachelor's degree in Human Resources, Education, Business, or a related field (Master's degree preferred)
  • 8-10+ years of experience in learning and development, with demonstrated success in modernizing training functions
  • Experience implementing AI-enabled tools or digital transformation initiatives in L&D
  • Experience leading organizational learning or workforce capability transformation initiatives preferred
  • Experience in government contracting or highly regulated environments preferred
  • Experience with Cornerstone LMS and LinkedIn Learning platforms

Skills/Qualifications:

  • Expertise in learning strategy, instructional design, and performance enablement
  • Understanding of AI applications in learning, including generative AI and adaptive learning systems
  • Ability to translate business needs into scalable capability-building solutions
  • Data-driven mindset with experience in learning analytics and ROI measurement
  • Strong leadership, organizational, and decision-making skills
  • Excellent verbal and written communication skills
  • Proficiency in Microsoft Office Suite and knowledge management systems

Preferred Qualifications:

  • Experience building skills taxonomies, workforce capability models, and AI governance frameworks
  • Experience integrating learning into digital workflows and enterprise tools
  • Certification in project management, instructional design, or learning technologies
  • Familiarity with government contracting compliance training requirements

Physical Requirements: The ideal candidate must at a minimum be able to meet the following physical requirements of the job with or without a reasonable accommodation:

  • Ability to perform repetitive motions with the hands, wrists, and fingers
  • Ability to engage in and follow audible communications in emergency situations
  • Ability to sit for prolonged periods at a desk and working on a computer
Employment Type: FULL_TIME