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Data Analytics Instructor Jobs (NOW HIRING)

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Data Analytics Instructor information

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How much do data analytics instructor jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for data analytics instructor in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is a Data Analytics Instructor job?

A Data Analytics Instructor teaches students the principles and practical applications of data analysis, including data collection, cleaning, visualization, and statistical modeling. They design course materials, lead lectures or workshops, and provide hands-on training using industry-standard tools like Python, SQL, Excel, and Tableau. Instructors may work at universities, bootcamps, or corporate training programs, helping learners develop the skills needed for data-driven decision-making. Strong communication skills, industry experience, and the ability to simplify complex concepts are essential for success in this role.

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

To thrive as a Data Analytics Instructor, you need a solid background in data analysis, statistics, and curriculum development, typically supported by a relevant degree and instructional experience. Familiarity with tools such as Python, R, SQL, Tableau, and experience with learning management systems or recognized analytics certifications are highly valuable. Strong communication, patience, and the ability to simplify complex concepts are crucial soft skills for effectively teaching diverse learners. These skills ensure that instructors can deliver engaging and actionable education, preparing students for real-world analytics roles.

What is a typical workday like for a Data Analytics Instructor?

A typical workday for a Data Analytics Instructor involves preparing and delivering lessons on data tools and techniques, supporting students through exercises and projects, and updating course materials to reflect current industry standards. Instructors often collaborate with colleagues to design engaging curriculum and may provide one-on-one guidance or feedback to learners. Administrative tasks such as grading, responding to queries, and tracking student progress are also part of the role. This balance of teaching, mentoring, and curriculum development fosters a dynamic work environment and helps ensure students are well-equipped for analytics careers.

More about Data Analytics Instructor jobs
What cities are hiring for Data Analytics Instructor jobs? Cities with the most Data Analytics Instructor job openings:
What are the most commonly searched types of Data Analytics Instructor jobs? The most popular types of Data Analytics Instructor jobs are:
What states have the most Data Analytics Instructor jobs? States with the most job openings for Data Analytics Instructor jobs include:
Infographic showing various Data Analytics Instructor job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Research Analytics Field Instructor

Research Analytics Field Instructor

Mississippi Valley State University

Itta Bena, MS โ€ข On-site

Full-time

Posted 15 days ago


Job description

Posting Details
Position Information
Position Title
Research Analytics Field Instructor
Job Description
Position Summary
Mississippi Valley State University seeks a Research Analytics Field Instructor to support institutional analytics, digital learning technologies, and technology-enhanced instructional environments. The position assists with the administration and analysis of learning management systems and institutional data systems while supporting online learning initiatives and instructional technology integration. The Research Analytics Field Instructor contributes to institutional reporting activities including IPEDS, accreditation reporting, and state data submissions, and conducts data analysis using tools such as Python, R, SQL, and related analytics technologies. The role also supports research and innovation initiatives involving data science, machine learning, artificial intelligence, and computational analysis. The position collaborates with faculty, researchers, and technical staff to enhance digital learning environments and support data-informed decision making across the university.
Essential Duties and Responsibilities
  • Support administration and analysis of the University's Learning Management System (LMS) and related instructional technologies used in online and hybrid courses.
  • Conduct learning analytics and data analysis to evaluate student engagement, participation, and course effectiveness.
  • Develop reports, dashboards, and data visualizations to support digital learning initiatives, student success efforts, and institutional decision-making.
  • Utilize Banner and ARGOS reporting systems to extract, analyze, and validate institutional data for operational and strategic reporting.
  • Write and maintain scripts and queries for reporting and data extraction using tools such as SQL, Python, R, or similar analytics technologies.
  • Assist faculty with integrating multimedia, interactive tools, and digital resources into online and blended course design.
  • Develop and maintain online training modules, tutorials, and instructional support materials for faculty and students.
  • Maintain documentation, technical guides, and electronic knowledge base resources related to instructional technology platforms and reporting systems.
  • Collaborate with Information Technology staff to support LMS updates, Banner integrations, data workflows, and instructional technology improvements.
  • Support institutional reporting requirements including IPEDS, accreditation reporting, and state data submissions, and assist with data validation and compliance processes.

Required Qualifications
  • Master's degree from an accredited institution in Bioinformatics, Computer Science, Data Science, Information Technology, Engineering, Educational Technology, or a related field.
  • Experience with data analysis, programming, or computational research methods.
  • Experience working with enterprise data systems such as Banner, ARGOS, or similar reporting environments.
  • Proficiency with programming or analytical tools such as Python, R, SQL, MATLAB, or related technologies.
  • Strong analytical, problem-solving, and organizational skills.
  • Ability to communicate technical information effectively to faculty, staff, and students.

Preferred Qualifications
  • Experience working with Learning Management Systems or instructional technology platforms.
  • Experience with learning analytics or educational data analysis.
  • Experience developing web-based tools, mobile applications, or digital learning technologies.
  • Experience with machine learning, artificial intelligence, or computational research methods.
  • Experience developing reporting scripts, dashboards, or automated reporting solutions.
  • Experience presenting or publishing research in academic or professional venues.

Knowledge, Skills, and Abilities
  • Data analysis and statistical modeling
  • Programming and computational research
  • Learning analytics and educational data analysis
  • Digital learning technologies and instructional platforms
  • Data visualization and reporting
  • Multimedia and digital learning content development
  • Technical documentation and knowledge base development
  • Collaboration with interdisciplinary academic and technical teams

Physical Demands
Lifting (lbs) | YES
Carrying (lbs) | X |
Walking | X 25% |
Standing | X25% |
Sitting | X25% |
Climbing, Balancing (e.g. climbing working from ladder) | X20% |
Use of Hands to Finger, Handle or Feel | X60% |
Physical Coordination (sequential or simultaneous use of hands, arms, feet and legs) | NO |
Color Vision (ability to identify and distinguish colors) | X |
Depth perception (ability to judge distance spatial relationships) | X |
Hearing | X80% |
Cognitive Ability (clear thinking ability, discernment and ability to make decisions. Read, write, problem-solve use of discretion. | X80% |
Posting Detail Information
Posting Number
SF873P
Open Date
03/16/2026
Close Date
Open Until Filled
Yes
Special Instructions to Applicants