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Data Analytics Instructor Jobs in Tennessee (NOW HIRING)

Electrical Instructor-MMC

Chattanooga, TN · On-site

$52K - $56K/yr

Job Summary Instructors are responsible for the delivery of educational materials by utilizing ... Actively participate in meetings, review and analyze assessment data, compile reports, and meet ...

HVAC Lead Instructor-MMC

Chattanooga, TN · On-site

$60K - $62K/yr

Actively engaged in the development and maintenance of the campus effectiveness plan, the Lead Instructor collects data for purposes of analyzing program performance. The Lead Instructor shares ...

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Data Analytics Instructor information

See Tennessee salary details

$22

$49

$85

How much do data analytics instructor jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for data analytics instructor in Tennessee is $49.69, according to ZipRecruiter salary data. Most workers in this role earn between $39.90 and $56.30 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

A Data Analytics Instructor or data science professional can start at any age, including 40, as success depends on skills, experience, and continuous learning. Many individuals transition into data science later in life by acquiring relevant skills such as programming, statistics, and tools like Python or R, and obtaining certifications or degrees to enhance their qualifications.

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 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, data quality analysts, data warehousing analysts, and data visualization analysts. Each type focuses on different aspects of data, such as interpreting business needs, ensuring data accuracy, managing data storage, or creating visual reports, often requiring proficiency in tools like Excel, SQL, and visualization software.

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a data analyst involves skills like critical thinking, domain knowledge, and data storytelling that are not easily replaced by AI. Therefore, while AI may augment the work, it is unlikely to fully replace data analysts in the near future.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Data Science Directors, Chief Data Officers, and senior Data Analytics Managers, often earning six-figure salaries. These positions require advanced skills in statistical analysis, machine learning, and leadership, and they usually involve overseeing large teams and strategic decision-making.

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 job categories do people searching Data Analytics Instructor jobs in Tennessee look for? The top searched job categories for Data Analytics Instructor jobs in Tennessee are:
Infographic showing various Data Analytics Instructor job openings in Tennessee as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $103,353 per year, or $49.7 per hour.

Part-time Instructor (Pool) - Data Analytics

APSU, Inc.

Clarksville, TN • On-site

$21.75 - $27.50/hr

Part-time

Re-posted 20 days ago


Job description

The Department of Management & Marketing at Austin Peay State University is seeking
a qualified and experienced professional to join our faculty as an Adjunct Business
Analytics Professor. The successful candidate will be responsible for teaching
undergraduate courses, providing students with a comprehensive understanding of
business analytics.


Primary Duties and Responsibilities 

- Develop and deliver engaging lectures and practical sessions on business analytics.
- Design and implement relevant coursework, assignments, and assessments.
- Foster a dynamic learning environment that encourages student participation and
critical thinking.
- Stay current with industry trends and incorporate real-world examples into the
curriculum.


Knowledge, Skills, and Abilities 
Physical Requirements Exerting up to 10 pounds of force occasionally and/or a negligible amount of force
frequently or constantly to lift, carry, push, pull or otherwise move objects.


Required Minimum Qualifications 

- Minimum of a Master's degree in Data Analytics, or a Master's degree in Business with 18 graduate hours in Business Analytics, or a Master's degree in a business field,
mathematics, or statistics and 3+ years of professional experience in business analytics.
- A minimum of three years of practical experience in the field of business analytics.
- Strong industry knowledge and understanding of current trends in business analytics.
- Ability to teach face-to-face classes, Monday - Friday during normal business or teach
in an online environment.
- A background search will be required of the successful applicant

Required Documents
1. Cover Letter
2. Unofficial Transcript
3. Curriculum Vitae


Optional Documents
1. Letter of Recommendation 1
2. Letter of Recommendation 2
3. Letter of Recommendation 3

The number of adjunct instructors hired varies from semester to semester, depending upon the needs of the department.

 
 Each applicant must include the names and contact information for three references,
one of which must be from your most recent or current employer, with your application
materials. Many people add this to the end of the CV/Resume.
 
If you would like to additionally attach Letters of Recommendation to your online
application, letters must be dated one year or less from the date of your application.
 
Letters of recommendation may be sent by email to
"facultyapplications@apsu.edu" or hard copy to "Austin Peay State University, Human
Resources Dept., PO Box 4507, Clarksville, TN 37044" with your name and desired
position clearly indicated after your online application is completed.
 
If granted an interview, unofficial transcripts will be required of applicants and official
transcripts will be required of the selected candidate before the candidate will be offered
a position. It is highly recommended that you attach unofficial transcripts in PDF format
to your online application.
 
You will not be able to attach your letters of recommendation, unofficial transcripts or
any other supplemental document(s) nor modify your application after it has been
submitted.
 
Please refer all questions to facultyapplications@apsu.edu

Austin Peay State University is a four-year public, doctoral-level university, with six colleges and four Chairs of Excellence. The University has an enrollment of over 11,000 students and is located in Clarksville, Tennessee, a community of an estimated 150,287 people located approximately 40 miles northwest of Nashville, TN.

Austin Peay State University is a proud supporter of hiring veterans. We hire veterans with equivalent experiences and pay grades from their military service, rather than requiring or preferring only college degrees. Please visit our website for more information on how veterans can qualify for additional employment opportunities at APSU: https://www.apsu.edu/human-resources/hiring-veterans/.

Austin Peay State University (APSU) prohibits discrimination in all employment, programs, and activities based on race, color, religion, national origin, sex (including pregnancy), disability, age, veteran status, genetic information, or any other legally protected status. For Title IX inquiries or complaints, contact: Chief of Institutional Culture & Title IX Coordinator, LaNeeca R. Williams at williamslr@apsu.edu | 931-221-7690, Browning Building, Room 140, Clarksville, TN 37044. For other non-discrimination concerns, contact: Director of Institutional Culture & Title VI & Title VII Coordinator, Dr. Jo Baldwin at baldwinjapsu.edu | 931-221-7178 or Associate Director of Accessibility Compliance & ADA/504 Coordinator, Jayme Glover at gloverj@apsu.edu | 931-221-7160. View APSU's full nondiscrimination policy at Policy 6:001.