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Learning Analytics Jobs in Houston, TX (NOW HIRING)

Develop, deploy, and maintain machine learning models and advanced analytics solutions * Design and build scalable data pipelines and data products * Perform data analysis, feature engineering ...

Analytics * Maintain accurate learning records and data integrity across learning platforms, ensuring timely tracking of required training, certifications, renewals, and compliance requirements ...

Analytics * Maintain accurate learning records and data integrity across learning platforms, ensuring timely tracking of required training, certifications, renewals, and compliance requirements ...

This role ensures the HRIS platform is secure, scalable, globally enabled, and aligned with HR, Payroll, Learning, Analytics, and enterprise IT strategy. The HRIS Architect leads then implementation ...

This role ensures the HRIS platform is secure, scalable, globally enabled, and aligned with HR, Payroll, Learning, Analytics, and enterprise IT strategy. The HRIS Architect leads then implementation ...

Lead the implementation and optimization of an enterprise Learning Management System (LMS) to manage training records, certifications, competency tracking, and learning analytics. * Develop and ...

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Learning Analytics information

See Houston, TX salary details

$21

$37

$58

How much do learning analytics jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for learning analytics in Houston, TX is $37.74, according to ZipRecruiter salary data. Most workers in this role earn between $27.55 and $41.30 per hour, depending on experience, location, and employer.

What is learning analytics?

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 does someone in learning analytics do?

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 key skills and qualifications needed to thrive in learning analytics?

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 cities near Houston, TX are hiring for Learning Analytics jobs?

Cities near Houston, TX with the most Learning Analytics job openings:

Infographic showing various Learning Analytics job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $78,492 per year, or $37.7 per hour.

Data Scientist

Waste Connections

The Woodlands, TX • On-site

Full-time

Posted 8 days ago


Waste Connections rating

7.4

Company rating: 7.4 out of 10

Based on 265 frontline employees who took The Breakroom Quiz

29th of 91 rated recycling and waste


Job description

Waste Connections is seeking a Data Scientist to join our growing Analytics & AI team. This role will partner with business leaders to solve complex operational and strategic challenges through analytics, machine learning, data engineering, and AI-driven solutions.
The ideal candidate is a hands-on problem solver who can translate business needs into actionable insights and production-ready solutions. This position requires a blend of technical expertise, business acumen, and strong communication skills, with ownership spanning the full lifecycle from data exploration and model development to deployment and adoption.
Essential Duties and Responsibilities
  • Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions

  • Develop, deploy, and maintain machine learning models and advanced analytics solutions

  • Design and build scalable data pipelines and data products

  • Perform data analysis, feature engineering, forecasting, and statistical modeling

  • Create dashboards, reports, and self-service analytics tools to support decision-making

  • Monitor, improve, and support production analytics solutions

  • Present findings and recommendations to both technical and non-technical audiences

  • Drive measurable business impact through data-driven insights and operational improvements

  • Collaborate with data engineers, analysts, and technology teams on enterprise initiatives

Qualifications
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field

  • 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline

  • Strong proficiency in Python and SQL

  • Experience building and deploying production machine learning or analytics solutions

  • Experience developing and maintaining data pipelines

  • Strong knowledge of statistics, hypothesis testing, and model evaluation techniques

  • Experience communicating analytical findings to business stakeholders

  • Excellent problem-solving, analytical, and communication skills

Preferred Qualifications
  • Experience with Databricks, Spark, or PySpark

  • Experience with cloud platforms such as AWS or Azure

  • Experience with Tableau, Power BI, or other data visualization tools

  • Experience with modern data architectures and lakehouse environments

  • Experience developing AI-enabled applications

  • Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics

What We Offer
  • Opportunity to work on high-impact business problems

  • Exposure to analytics, machine learning, data engineering, and AI initiatives

  • Direct interaction with business leaders and decision-makers

  • Ownership of projects from concept through production deployment

  • Collaborative team environment with strong opportunities for growth and development

Waste Connections is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability or protected veteran status.

What Waste Connections employees say

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