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Learning Analytics Remote Jobs in Santa Clara, CA

Landpoint

Remote Data Analyst

Fremont, CA · Remote

Knowledge of statistical methods and machine learning algorithms: A deep understanding of ... Remote data analysts must be able to clearly and concisely communicate their findings and ...

Tailored Brands

Sr Store Analytics Manager

Dublin, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... learning, and external market data to drive profitable growth. What You'll Bring | Skills ... from a remote office location Benefits This role is eligible for healthcare including medical ...

SavvyMoney

Senior Manager, Analytics (Dublin, CA)

Dublin, CA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Manager, Analytics is responsible for leading and scaling SavvyMoney's analytics ... learning and career growth with a top Bay Area technology company * Reimbursement for remote work ...

Tailored Brands

Data Scientist - Machine Learning

Dublin, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will leverage your Technical, Analytical, and Business acumen to help data-driven decision ... remote office location with the ability for occasional travel for team meetings and events.

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Learning Analytics Remote information

See Santa Clara, CA salary details

$26

$46

$71

How much do learning analytics remote jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for learning analytics remote in Santa Clara, CA is $46.41, according to ZipRecruiter salary data. Most workers in this role earn between $33.89 and $50.82 per hour, depending on experience, location, and employer.

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 Santa Clara, CA?

The most popular types of Learning Analytics jobs in Santa Clara, CA are:

What are popular job titles related to Learning Analytics Remote jobs in Santa Clara, CA?

For Learning Analytics Remote jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Learning Analytics Remote jobs in Santa Clara, CA look for?

The top searched job categories for Learning Analytics Remote jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Learning Analytics Remote jobs?

Cities near Santa Clara, CA with the most Learning Analytics Remote job openings:

Learning Analytics Remote jobs near you
Infographic showing various Learning Analytics Remote job openings in Santa Clara, CA as of June 2026, with employment types broken down into 62% Full Time, 25% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $96,531 per year, or $46.4 per hour.

Senior Product Manager - Data Platform & Internal Tools

Glint Tech Solutions LLC

Sunnyvale, CA • Remote

$230K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the Role

We are looking for a highly technical Senior Product Manager to drive the roadmap for our internal data platform and tooling. Reporting directly to the Principal Product Manager, you\'ll partner closely with Engineering, Data Science, and Leadership to build scalable infrastructure that powers critical business operations.

This is not a customer-facing product role. You\'ll own internal platforms, data pipelines, and developer tooling that enable engineering and data teams to move faster and make better decisions.

We\'re looking for someone with strong engineering roots who transitioned into Product Management and enjoys solving deeply technical problems.

Location
  • Remote (United States)
  • Candidates must be authorized to work in the U.S.
Compensation
  • $180,000 – $230,000 base salary
  • Competitive equity package
  • Comprehensive benefits
What You\'ll Do
  • Own the product strategy and roadmap for internal data platform and tooling initiatives.
  • Work closely with Engineering and Data Science teams to prioritize technical investments and platform capabilities.
  • Define product requirements for large-scale data infrastructure, ingestion pipelines, internal tools, and developer platforms.
  • Partner with engineers throughout the product lifecycle—from discovery through implementation and launch.
  • Drive initiatives involving data collection, normalization, modeling, storage, and internal analytics infrastructure.
  • Manage product priorities across multiple technical stakeholders while balancing business and engineering needs.
  • Use data to evaluate product success and continuously improve platform capabilities.
  • Influence cross-functional teams through strong technical communication and product leadership.
Required Qualifications
  • 5+ years of experience as a Product Manager or equivalent cross-functional product leadership role.
  • Prior hands-on engineering experience is required (Software Engineer, Data Engineer, Machine Learning Engineer, Data Scientist, or highly technical Data Analyst).
  • Proven experience owning highly technical products focused on data platforms, internal tooling, or infrastructure.
  • Experience building products involving large-scale data pipelines, ingestion, transformation, normalization, and data modeling.
  • Strong understanding of modern cloud infrastructure and data ecosystems.
  • Hands-on familiarity with Python and AWS.
  • Experience working with one or more big data technologies such as:
    • Spark
    • Databricks
    • BigQuery
    • Snowflake
    • Amazon Redshift
  • Experience working with SQL and relational databases.
  • Ability to collaborate effectively with Engineering and Data Science teams.
  • Excellent written and verbal communication skills with strong executive presence.
Preferred Qualifications
  • Experience at a Series B or Series C startup.
  • Startup product ownership with end-to-end responsibility.
  • Experience in FinTech, Payments, Fraud, Identity, Cybersecurity, AI Infrastructure, or other highly technical domains.
  • Experience managing products supporting machine learning, analytics infrastructure, or internal engineering platforms.
  • Founder or entrepreneurial experience is a strong plus.
  • Experience with Golang, PostgreSQL, OpenSearch, or related backend technologies.

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