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Data Analytics Instructor Jobs in Massachusetts (NOW HIRING)

JETSET Pilates

Instructor - Belmont

Belmont, MA

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us.

JETSET Pilates

Instructor - Wellesley

Wellesley, MA · On-site

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us.

JETSET Pilates

Instructor - Belmont

Belmont, MA · On-site

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us.

JETSET Pilates

Instructor - Belmont

Belmont, MA

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us. apply for ...

JETSET Pilates

Instructor - Wellesley

Wellesley, MA

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us. apply for ...

Tate Behavioral

Behavioral Instructor

Northampton, MA

Specialized training in Applied Behavior Analysis and/or Special Education (3-5 years) Additional ... Additional instruction and supervision in data collection and management. * Additional instruction ...

Tate Behavioral

Behavioral Instructor

Northampton, MA · On-site

Specialized training in Applied Behavior Analysis and/or Special Education (3-5 years) Additional ... Additional instruction and supervision in data collection and management. * Additional instruction ...

Emerson College

Manager, Program Operations

Boston, MA · On-site

Conduct audits of course assets, academic assignments, and instructor records to ensure compliance and data accuracy * Identify process improvement opportunities through data analysis and present ...

Emerson College

Manager, Program Operations

Boston, MA · On-site

Conduct audits of course assets, academic assignments, and instructor records to ensure compliance and data accuracy * Identify process improvement opportunities through data analysis and present ...

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Data Analytics Instructor information

See Massachusetts salary details

$26

$59

$103

How much do data analytics instructor jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics instructor in Massachusetts is $59.79, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $67.74 per hour, depending on experience, location, and employer.

What is a data analytics instructor?

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 key skills and qualifications needed to thrive as a data analytics instructor?

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.

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 are the most commonly searched types of Data Analytics Instructor jobs in Massachusetts? The most popular types of Data Analytics Instructor jobs in Massachusetts are:
What are popular job titles related to Data Analytics Instructor jobs in Massachusetts? For Data Analytics Instructor jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Analytics Instructor jobs in Massachusetts look for? The top searched job categories for Data Analytics Instructor jobs in Massachusetts are:
Data Analytics Instructor jobs near you
Infographic showing various Data Analytics Instructor job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,364 per year, or $59.8 per hour.

Adjunct Instructor in Data Management, Integration, and Applied Analytics

Brandeis University

Waltham, MA • On-site

$6.5K/mo

Part-time

Re-posted 16 days ago

Job description

Brandeis University's Online Information Technology Management Program is seeking an Adjunct Faculty member for RITM 125 Data Management, Integration, and Applied Analytics for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Information Technology Management.
This course focuses on enterprise data lifecycle management, data modeling, integration workflows, and applied analytics. Students work with data from multiple sources to design structures and processes that support decision-making, quality, and accessibility.
Core Course Responsibilities Summary
  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.
  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.
  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.
  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:
  • Required:
    • Master's degree in Data Science, Information Systems, Computer Science, Data Engineering, Business Analytics, or a closely related field
    • Minimum 3 years of professional experience in enterprise data management, data integration, analytics, or data architecture
    • Demonstrated expertise in data modeling, database design (SQL and NoSQL), ETL/ELT workflows, and data lifecycle management
    • Experience working with analytics tools or programming languages used in applied analytics (e.g., Python, R, SQL, Power BI, Tableau)
    • Minimum 1 year experience developing asynchronous online courses for adult learners in higher education
    • At least 1 year of teaching or training experience (preferably online/asynchronous)
    • Experience with online instruction
    • Excellent communication and teaching skills in an online learning environment.
  • Preferred:
    • Doctorate (PhD or DBA) in Data Science, Information Systems, Computer Science, Analytics, or related field
    • 5+ years of experience in data architecture, enterprise analytics strategy, data governance, or business intelligence leadership
    • Professional experience as a Data Architect, Data Engineer, Analytics Director, BI Lead, or Enterprise Data Strategist
    • Experience with enterprise data governance frameworks and data quality management practices
    • Industry certifications such as Certified Data Management Professional (CDMP), AWS Data Analytics, Azure Data Engineer Associate, Google Professional Data Engineer, or equivalent
    • Prior online teaching experience at the graduate level
    • Knowledge of global learner personas and culturally responsive pedagogy
    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:
A cover letter highlighting relevant qualifications and teaching experience.
A current CV or resume.
Contact information for three professional references.
Application review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
Compensation for this positon is: $6573.15
Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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