Adjunct Faculty-Business Analytics

Lasell University; Newton (MA); On-site; USD 34,000 - 41,000; Part time

Job summary

Lasell University seeks an enthusiastic adjunct faculty member to teach an undergraduate course introducing the conceptual and technical foundations of Business Analytics and Big Data. The instructor will guide students through real-world analytics practices and use industry-standard tools.

The position is an on-campus role at Lasell University in Newton, MA, teaching approximately 6–8 hours per week for the Fall 2026 semester, starting September 8, 2026.

Qualifications

• Master's degree 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.

Responsibilities

• Teach an undergraduate course that introduces the conceptual and technical foundations of Business Analytics and Big Data.
• Guide students through real-world analytics practices, data handling, and the use of industry-standard tools.
• Prepare lectures, labs, and assignments aligned with the provided syllabus and design and grade assessments.

Skills

Excel

Tableau

SQL

Python

R

Education

Master's degree in Business Analytics, Data Science, Statistics, Computer Science, or a closely related field

Job description

Job Details

Job Location: Lasell University - Newton, MA 02466

Position Type: Adjunct

Education Level: Graduate Degree

Salary Range: $3,350.00 - $3,350.00 Commission

Job Category: Faculty Adjunct Professor - Undergraduate Business Analytics

Institution

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).

Qualifications- 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.