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Data Analytics Teaching Jobs (NOW HIRING)

Steame LLC

Data Analytics Engineer - Chicago

Chicago, IL · On-site

$120K - $130K/yr

... taught us how to deliver multi-sided platforms that power complex ecosystems. We channel that ... The Role As a Data Analytics Engineer at STEAMe, you will sit at the intersection of analytics ...

Ohio University

POOL: Data Analytics Instructor

Athens, OH · On-site

$19.75 - $25/hr

They also teach key principles of analytic design and useful visualization techniques for the exploration and presentation of data. 2) Study Skills, Time Management, and Personal Finance courses (UC ...

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Data Analytics Teaching information

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How much do data analytics teaching jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for data analytics teaching 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 Teaching job?

A Data Analytics Teaching job involves educating students or professionals on data analysis concepts, tools, and techniques. Instructors teach subjects like data visualization, statistical analysis, SQL, Python, and machine learning. They may work in universities, online platforms, or corporate training programs. Responsibilities include developing curriculum, designing hands-on exercises, and mentoring learners. Effective teaching requires both technical expertise and the ability to explain complex concepts clearly.

What are some typical challenges faced by professionals teaching data analytics, and how can they be addressed?

Professionals teaching data analytics often encounter challenges such as varying levels of student proficiency, rapidly changing industry tools, and the need to illustrate real-world applications. To address these, instructors may develop adaptable teaching materials, incorporate hands-on projects, and stay current with industry developments through ongoing education or professional networks. Collaborating with industry partners for guest lectures and case studies can also help keep course content relevant and engaging. Being flexible and using a variety of teaching methods can ensure all students, regardless of background, are able to grasp key concepts.

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

To excel in Data Analytics Teaching, a solid background in data analysis, statistics, and instructional design—usually supported by an advanced degree in a quantitative field—is essential. Familiarity with tools such as Python, R, SQL, Tableau, and relevant certifications like Microsoft Certified: Data Analyst Associate or Certified Analytics Professional is common. Outstanding communication, patience, and the ability to simplify complex concepts are important soft skills for effectively engaging learners. These skills ensure instructors can deliver practical, accessible learning experiences that prepare students for real-world data roles.

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What cities are hiring for Data Analytics Teaching jobs? Cities with the most Data Analytics Teaching job openings:
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Data Analytics Teaching jobs near you
Infographic showing various Data Analytics Teaching job openings in the United States as of June 2026, with employment types broken down into 56% Full Time, 35% Part Time, and 9% Contract. Highlights an 79% Physical, and 21% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Adjunct Faculty - Data Analytics SOBE

Concordia University

Irvine, CA • On-site

Part-time

Posted 27 days ago

Job description

Position Summary:

The School of Business and Economics at Concordia University Irvine is seeking applicants for adjunct faculty positions in the Data Analytics Business field. The School is IACBE accredited and strives to develop wise and honorable citizens capable of excelling as witnesses of Christ through their various roles within the academic field and elsewhere. Pursuant to this mission, we seek faculty candidates who can articulate the interconnection between their Christian faith and their academic pursuits.

Essential Duties and Responsibilities include:

  • Teaching MBA courses face-to-face, conducting office hours, and working with full-time faculty colleagues. MBA courses are generally taught once a week for seven weeks in the evening throughout the year.
  • Possible course topics encompass a range of data analytics and data analytics related topics from a business perspective teaching the deployment of analytical tools in identifying data needs, accessing data, organizing data and where possible storytelling through graphics.
  • Primary opportunities include face-to-face offerings in MBA Data Analytic courses such as MBA 608 Business Analytics, MBA 630A Big Data I, MBA 630B Big Data II, and MBA 611 Data Analytics on our Irvine campus where MBA students look to add to their understanding, applicability, and capability of data analytics in the business world rather than developing the competency of a Data Scientist.

Qualification Requirements:

  • Successful candidates must confess the Christian faith, demonstrate a commitment to a Lutheran liberal arts education, and have demonstrated teaching excellence
  • Candidates must also have an earned doctorate or a master's degree in a relevant field 3+ years of professional experience in the Business Data Analytics area
  • Abreast of current industry practices, trends, tools in the data analytics field
  • Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes.

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