1

Temporary Data Analytics Teaching Jobs (NOW HIRING)

... 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 ...

next page

Showing results 1-20

Temporary Data Analytics Teaching information

See salary details

$153K

$178.7K

$202K

How much do temporary data analytics teaching jobs pay per year?

As of Jul 11, 2026, the average yearly pay for temporary data analytics teaching in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Temporary Data Analytics Teaching jobs? Cities with the most Temporary Data Analytics Teaching job openings:
What are the most commonly searched types of Data Analytics Teaching jobs? The most popular types of Data Analytics Teaching jobs are:
What states have the most Temporary Data Analytics Teaching jobs? States with the most job openings for Temporary Data Analytics Teaching jobs include:
NCC Adjunct Faculty: Data Analytics

NCC Adjunct Faculty: Data Analytics

Community College System of New Hampshire

Nashua, NH • On-site

Full-time

Re-posted 20 days ago


Job description

Nashua Community College is seeking qualified individuals who are interested in adjunct teaching at the College on a course-by-course basis; strong academic background is required. Adjunct appointments are temporary, for a specified contract period and may require in classroom or online instruction as indicated.
We currently have a need for instructors in our Data Analytics Program for the Fall of 2026 semester. Course may be offered online, hybrid (online and face to face component) or face-to-face on campus. Candidates must live regionally (within New England).
  • AI and Data Literacy
  • Data Mining
  • Communicating with Data
  • Data Wrangling and SQL
  • Business Analytics
  • Programming for Analytics and AI (R/python)
  • Applied Machine Learning and Natural Language Processing
  • Databases - an overview
  • AI tools and Business automation

Minimum Qualifications:
Minimum qualifications are a Master's Degree in Data Analytics/Science, Statistics, Business Analytics, Artificial Intelligence, or closely related field, and three years of relevant experience.
Potential candidate should have experience with the data analysis process and be familiar with data analytics tools such as Excel, Tableau, PowerBI, SQL, NoSQL, Datawrapper, Python, SAS, SPSS, Artificial Intelligence Tools, and R.
The salary range for this position is $850-$1,000 per contact hour. The rate will be determined by the appointed adjunct faculty rank, which is based on education and industry and/or teaching experience.
CCSNH has established employer status within the New England states (Maine, New Hampshire, Vermont, Massachusetts, Connecticut, and Rhode Island). In compliance with CCSNH policies and state regulations, eligibility for employment within CCSNH and its institutions requires residency within a New England state.
Application Process:
Submit your application online with cover letter, resume/Curriculum Vitae, statement of teaching philosophy, and copy of official/unofficial transcripts.
In your cover letter:
  • Please discuss any relevant experience
  • Please list courses you have taught, (if applicable)
  • Please list courses you are interested and qualified to teach (To learn more about course offerings at NCC, please visit https://nashuacc.edu/programs/)

Please note: Resumes will not be accepted in lieu of a completed employment application and Employment History Sections that state "see resume" will not be accepted. Resumes will be reviewed on an on-going basis until needs are met and may be kept on file for future openings.
The Community College System of NH does not discriminate in the administration of its admissions and educational programs, activities, or employment practices on the basis of race, creed, color, religion, ancestry or national origin, age, sex, sexual orientation, gender identity and expression, physical or mental disability, genetic information, or law enforcement, military, veteran, or marital status.
All offers of employment are contingent upon the successful completion of the required background check.