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Data Analytics Professor Adjunct Jobs in Boston, MA

Adjunct Professor - Data Science Department: School of Computing and Data Science Location: Wentworth Institute of Technology Wentworth Institute of Technology is seeking adjunct professors to teach ...

Adjunct Professor - Computer Science Department: School of Computing and Data Science Location: Wentworth Institute of Technology Wentworth Institute of Technology is seeking adjunct professors to ...

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Data Analytics Professor Adjunct information

See Boston, MA salary details

$30

$73

$85

How much do data analytics professor adjunct jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data analytics professor adjunct in Boston, MA is $73.40, according to ZipRecruiter salary data. Most workers in this role earn between $72.60 and $76.01 per hour, depending on experience, location, and employer.

What is a data analytics professor adjunct?

Data Analytics Professor Adjuncts are part-time or non-tenure-track instructors who teach courses in data analytics at colleges or universities. They often have significant professional experience in the field and may work in industry while teaching part-time. Their role involves preparing and delivering lectures, developing course materials, assessing student performance, and staying current with advancements in data analytics. Adjunct professors provide practical insights and help bridge the gap between academic theory and real-world application for students.

What are the key skills and qualifications needed to thrive as a data analytics professor adjunct, and why are they important?

To thrive as a Data Analytics Professor Adjunct, you need an advanced degree (typically a Master's or Ph.D.) in data analytics or a related field, along with deep knowledge of statistics, data modeling, and analytics methodologies. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau, as well as experience with Learning Management Systems (LMS) and relevant teaching certifications, is often required. Exceptional communication, mentorship, and curriculum development skills help engage students and foster a collaborative learning environment. These qualifications ensure effective teaching, up-to-date instruction, and the ability to prepare students for evolving data-driven careers.

What opportunities for industry collaboration are typically available to adjunct data analytics professors?

Adjunct Data Analytics Professors often have the chance to collaborate with industry partners through guest lectures, project-based learning, and mentorship programs. Many institutions encourage adjunct faculty to leverage their professional networks, bringing real-world data challenges into the classroom to enhance student learning. These collaborations not only enrich the curriculum but can also lead to opportunities for joint research, consulting projects, or student internships. Engaging with industry partners is an excellent way for adjunct professors to stay current with evolving analytics trends and expand their professional impact.

What are popular job titles related to Data Analytics Professor Adjunct jobs in Boston, MA?

For Data Analytics Professor Adjunct jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Data Analytics Professor Adjunct jobs in Boston, MA look for?

The top searched job categories for Data Analytics Professor Adjunct jobs in Boston, MA are:

What cities near Boston, MA are hiring for Data Analytics Professor Adjunct jobs?

Cities near Boston, MA with the most Data Analytics Professor Adjunct job openings:

Infographic showing various Data Analytics Professor Adjunct job openings in Boston, MA as of September 2026, with employment types broken down into 44% Full Time, and 56% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $152,666 per year, or $73.4 per hour.

Adjunct Faculty-Business Analytics

LASELL UNIVERSITY

Newton, MA • On-site

$3.3K/mo

Other

Posted 4 days ago


Job description

Adjunct Professor - Undergraduate Business Analytics
Institution: Lasell University - Department of Data Science
Location: Newton, MA on campus twice a week
Employment Type: Adjunct (per semester)
Start Date: Fall 2026 (September 8, 2026)
This position is approximately 6-8 hours a week
This position also does not qualify for any type of employment-sponsorship.
Position Overview
The Department of Data Science and Business Management seek an enthusiastic adjunct faculty member to teach an undergraduate course that introduces the conceptual and technical foundations of Business Analytics and Big Data. The instructor will guide students through real-world analytics practices, data handling, and the use of industry-standard tools, preparing them for data-driven roles across the business sector.
Course Description
The course provides the conceptual and technical foundations of various aspects of Data Analytics. The purpose is to prepare students with foundation skills in Big Data, a skill widely needed and valued across the business world. Students will explore the analytical process, how data is created, stored, accessed, and how organizations work with data to create environments where analytics can flourish.
Learning Objectives / Outcomes
1. Understand the strategy and technologies of business analytics.
2. Develop foundational skills in Big Data.
3. Describe descriptive, predictive, and prescriptive analytics.
4. Create and interpret data visualizations.
5. Perform data modeling and review data-mining, simulation, and optimization methods.
6. Use business-analytics technologies (Excel, Tableau, SQL, etc.).
Key Topics & Skills Students Will Gain
- Classification of qualitative vs. quantitative data.
- Construction and interpretation of visual data displays.
- Calculation and discussion of measures of central tendency.
- Evaluation of various analytics types.
- Proficiency with Excel, Tableau, and SQL.
- Understanding of company operations, profiles, and business dynamics.
- Identification of data-driven business opportunities.
- Bridging business problems with analytical models.
- Communication of technical analysis to both technical and non-technical audiences.
- Assessment of financial, operational, and ethical implications of data-driven solutions.
- Teach 3 credit hours of the Business Analytics course.
- Prepare and deliver lectures, labs, and assignments aligned with the provided syllabus.
- Design and grade assessments (quizzes, exams, projects).
- Required: Master's degree (or higher) in Business Analytics, Data Science, Statistics, Computer Science, or a closely related field.
- Demonstrated expertise with analytics tools such as Excel, Tableau, SQL, and familiarity with Python/R a plus.
- Prior industry experience in data analytics, consulting, or a related business function.
- Prior teaching or tutoring experience at the college level preferred.
- Ability to convey complex technical concepts clearly to undergraduate students.