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Learning Analytics Remote Jobs in California (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

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Learning Analytics Remote information

What is a learning analytics remote job?

A Learning Analytics Remote job involves analyzing educational data to improve learning outcomes, all while working from a remote location. Professionals in this role use data analysis tools and techniques to track student engagement, performance, and behavior across digital learning platforms. They help educators and institutions make data-driven decisions to enhance teaching strategies and personalize learning experiences. Remote positions in this field offer flexibility and often require strong analytical, communication, and technical skills.

What are some common challenges faced by professionals in a remote learning analytics role, and how can they be addressed?

Professionals in remote learning analytics often encounter challenges such as ensuring clear communication with stakeholders across different time zones and maintaining data privacy when working with sensitive student information. Additionally, accessing and integrating data from various learning platforms can require strong technical skills and problem-solving abilities. Staying proactive with regular virtual check-ins, utilizing secure data management practices, and leveraging collaborative tools can help address these challenges and foster effective teamwork in a remote environment.

What are the key skills and qualifications needed to thrive as a learning analytics professional working remotely?

To excel as a Learning Analytics professional in a remote setting, you need strong analytical skills, a background in education or data science, and experience with quantitative and qualitative research methods. Familiarity with learning management systems (LMS), data visualization tools (like Tableau or Power BI), and programming languages such as Python or R is typically required. Excellent communication, time management, and self-motivation are vital soft skills for collaborating with distributed teams and stakeholders. These skills and qualities are essential for interpreting educational data, providing actionable insights, and driving continuous improvement in remote learning environments.

What are the most commonly searched types of Learning Analytics jobs in California?

The most popular types of Learning Analytics jobs in California are:

What are popular job titles related to Learning Analytics Remote jobs in California?

For Learning Analytics Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Learning Analytics Remote jobs in California look for?

The top searched job categories for Learning Analytics Remote jobs in California are:

What cities in California are hiring for Learning Analytics Remote jobs?

Cities in California with the most Learning Analytics Remote job openings:

Learning Analytics Remote jobs near you
Infographic showing various Learning Analytics Remote job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Organizational Change Management Consultant - Utility Industry

Newhouse Project Consulting

Anaheim, CA • Remote

$80 - $90/hr

Contractor

Posted 10 days ago

Job description

About the Opportunity

We are looking for an experienced Organizational Change Management Consultant to support a late-stage technology deployment within a field operations environment.

This engagement is designed for a hands-on, execution-oriented change professional who can quickly drive stakeholder engagement, communications, readiness activities, training alignment, and adoption support. The project involves a machine learning-enabled operational tool designed to improve field inspection efficiency, enhance decision-making, reduce risk, and increase data visibility for employees and stakeholders supporting field-based operations.

This is a full-time contract opportunity expected to run from August 2026 through March 2027.

What You'll Do
  • Lead day-to-day change management execution for a late-stage technology deployment supporting field operations
  • Develop and support stakeholder engagement plans to increase awareness, readiness, and adoption among impacted employees
  • Create clear communications that help field teams, operational leaders, and business stakeholders understand what is changing, why it matters, and how it affects their work
  • Partner with project teams, field operations leaders, business stakeholders, and end users to support adoption
  • Assess change impacts and identify readiness needs across impacted employee groups, including field-facing teams
  • Support training alignment by helping ensure materials, timing, and messaging match user needs in an operational environment
  • Help prepare employees and stakeholders for new workflows, technology-enabled processes, field inspection changes, and greater data visibility
  • Identify adoption risks, resistance points, communication gaps, and readiness barriers across field and operational teams
  • Recommend practical actions to improve user understanding, acceptance, and sustained usage
  • Coordinate with internal teams to support go-live preparation, post-deployment adoption, and ongoing reinforcement
  • Track change activities, stakeholder feedback, readiness progress, and adoption-related next steps
  • Provide hands-on support to help the organization sustain new ways of working across field operations
What We're Looking For
  • Strong Organizational Change Management experience, preferably supporting technology or operational transformation projects
  • Experience supporting field operations, utility operations, inspection teams, asset management, or other field-based work environments strongly preferred
  • Experience with stakeholder engagement, communications, readiness planning, training alignment, and adoption support
  • Ability to operate in a late-stage deployment environment with limited time to influence adoption
  • Strong written and verbal communication skills
  • Ability to translate complex technical or operational changes into clear, practical messaging for field teams, leaders, and impacted users
  • Comfort working with cross-functional teams, project stakeholders, business leaders, field operations leaders, and end users
  • Strong execution mindset with the ability to move quickly, organize work, and drive deliverables
  • Ability to identify adoption risks and recommend practical mitigation steps
  • Strong attention to detail, follow-through, and stakeholder management skills
  • Experience supporting AI, machine learning, analytics, data visibility, or decision-support technology deployments is a plus
Contract Details
  • Full-time contract role
  • 40 hours per week
  • Expected duration of approximately 36 weeks
  • Anticipated timeline: August 2026 through March 2027
  • Remote or hybrid arrangement may be considered based on project needs
  • Focused role supporting stakeholder engagement, communications, readiness, training alignment, and adoption across field operations and operational stakeholder groups
Why This Role Stands Out

This is a strong opportunity for an OCM consultant who enjoys execution-focused change work tied to technology adoption and operational improvement. The role offers the chance to support a meaningful deployment that helps field and operational teams understand, embrace, and sustain new ways of working while improving inspection efficiency, risk reduction, data visibility, and decision-making.

Qualified candidates are encouraged to apply.

Employment Type: CONTRACTOR

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