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How much do data analytics instructor jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for data analytics instructor in California is $54.03, according to ZipRecruiter salary data. Most workers in this role earn between $43.41 and $61.20 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.

What are the most commonly searched types of Data Analytics Instructor jobs in California? The most popular types of Data Analytics Instructor jobs in California are:
What are popular job titles related to Data Analytics Instructor jobs in California? For Data Analytics Instructor jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Analytics Instructor jobs in California look for? The top searched job categories for Data Analytics Instructor jobs in California are:
What cities in California are hiring for Data Analytics Instructor jobs? Cities in California with the most Data Analytics Instructor job openings:
Data Analytics Instructor jobs near you
Infographic showing various Data Analytics Instructor job openings in California as of June 2026, with employment types broken down into 38% Full Time, and 62% Part Time. Highlights an 100% In-person job distribution, with an average salary of $112,382 per year, or $54 per hour.
Adjunct Instructor in Applied Data Science and Decision Analytics

Adjunct Instructor in Applied Data Science and Decision Analytics

Brandeis University

Brandeis, CA

$6.5K/mo

Part-time

Posted 26 days ago

Job description

Brandeis University's Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 100 Foundations of Applied Data Science and Decision Analytics for the Fall 1 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Applied Data Science and Decision Analytics.

This course will introduce the data lifecycle, reproducible workflows, and ethical communication of analytical insights. Students learn to structure analytic questions, organize projects in collaborative repositories, and communicate uncertainty effectively.

Core Course Responsibilities Summary

  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.

  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.

  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.

  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:

  • Required:

    • Advanced degree (Master's or Ph.D) in Computer Science, Analytics, Strategic Analytics, Strategic Leadership, Information Design, Data Science, Software Engineering, or related field.

    • Experience using BI and visual analytics tools in industry or consulting contexts.

    • Experience in data science and decision analytics, including data lifecycle

    • Demonstrate ability to frame data problems and decision-focused questions, and to implement collaborative, version-controlled analysis.

    • Experience in business intelligence, data visualization, and analytics storytelling, with the ability to translate insights into strategic actions.

    • At least 1 year of teaching or training experience (preferably online/asynchronous)

    • Experience with online instruction

    • Excellent communication and teaching skills in an online learning environment.

  • Preferred:

    • Prior online teaching experience at the graduate level

    • Knowledge of global learner personas and culturally responsive pedagogy

    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

    • Familiarity with SQL, Python, and/or R.

Interested candidates should submit:

A cover letter highlighting relevant qualifications and teaching experience.

A current CV or resume.

Contact information for three professional references.

Application review begins May 27, 2026 though we will continue to accept submissions on an ongoing basis.

This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.

Compensation for this positon is: $6573.15

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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