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Remote Data Analytics Instructor Jobs in Randolph, MA

... analytics delivered to healthcare organizations nationwide. Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles & Responsibilities * Lead data quality ...

... analytics delivered to healthcare organizations nationwide. Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles & Responsibilities * Lead data quality ...

Marketing Analytics Developer

Hingham, MA · On-site +1

$100K - $130K/yr

Collaborate with data analysts and other teams to interpret data and identify areas for ... Hybrid or Remote: Ideally, this position will work in a hybrid model, with required days worked in ...

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Remote Data Analytics Instructor information

See Randolph, MA salary details

$25

$55

$96

How much do remote data analytics instructor jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for remote data analytics instructor in Randolph, MA is $55.82, according to ZipRecruiter salary data. Most workers in this role earn between $44.86 and $63.22 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Analytics Instructor vs Remote Data Analyst?

AspectRemote Data Analytics InstructorRemote Data Analyst
Required CredentialsTypically a degree in data science, analytics, or related field; teaching certifications are a plusDegree in data science, statistics, or related field; often requires proficiency in analytics tools
Work EnvironmentOnline teaching platforms, educational institutions, corporate trainingRemote offices, companies, or consulting firms
Employer & Industry UsageEducational institutions, online course providers, corporate training programsBusinesses across industries, consulting firms, finance, healthcare, tech

While both roles involve data skills, a Remote Data Analytics Instructor focuses on teaching and curriculum development in educational settings, whereas a Remote Data Analyst applies data analysis techniques directly to business problems. The roles share similar credentials but differ mainly in their primary responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a Remote Data Analytics Instructor, and why are they important?

To thrive as a Remote Data Analytics Instructor, you need a strong background in data analytics, statistics, and teaching, usually demonstrated by a relevant degree and industry experience. Familiarity with data analysis tools such as Excel, SQL, Python, R, and learning management systems (LMS) is essential, along with certifications like Tableau or Google Data Analytics. Excellent communication, patience, and the ability to engage and motivate remote learners are valuable soft skills in this role. These skills ensure effective instruction, student engagement, and successful learning outcomes in a virtual environment.

What are some common challenges faced by Remote Data Analytics Instructors, and how can they be effectively managed?

Remote Data Analytics Instructors often encounter challenges such as maintaining student engagement in a virtual setting, addressing diverse learning paces, and ensuring clear communication despite not being physically present. To manage these, instructors can leverage interactive teaching tools, schedule regular check-ins, and provide a variety of learning resources to accommodate different student needs. Building a supportive online community and encouraging active participation also help foster a collaborative and effective learning environment.

What does a Remote Data Analytics Instructor do?

A Remote Data Analytics Instructor teaches students data analysis concepts and tools through online platforms. They develop and deliver course materials, lead live or recorded lessons, and provide feedback on assignments. Instructors often cover topics like data visualization, statistical analysis, and using software such as Excel, Python, or SQL. Their goal is to help students gain practical skills for analyzing and interpreting data in real-world scenarios.
What job categories do people searching Remote Data Analytics Instructor jobs in Randolph, MA look for? The top searched job categories for Remote Data Analytics Instructor jobs in Randolph, MA are:

$74K - $88K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Salary: $74,000.00 - $88,000.00 Annually
Location : 10 Park Plaza Suite 2150 Boston, MA
Job Type: Full-Time
Remote Employment: Flexible/Hybrid
Job Number: 00124
Department: Travel Model Development
Opening Date: 07/15/2026
Description
The Boston Region Metropolitan Planning Organization (MPO) seeks a Data Scientist-Model Developer to research, design, implement, adapt, and maintain models of travel behavior and transportation systems in various platforms.
The Data Scientist-Model Developer will join a team at the forefront of advancing the state of the practice in transportation modeling, designing, building, and maintaining critical tools that support transportation planning across the Boston Region and Massachusetts. In this role, you will have the opportunity to apply innovative modeling techniques, including exploratory modeling, to address complex transportation challenges and inform key decisions. If you are driven to produce quality work, passionate about the power of models, and committed to ensuring stakeholders understand and utilize these tools effectively, we encourage you to apply.
Responsibilities
  • Develop, update, and refine model input data in spatial data formats.
  • Contribute as a key team member on the development and maintenance of custom software applications to support transportation modeling.
  • Perform research and participate in the development of modeling features related to emerging transportation technologies, transformative modes, and shared mobilities.
  • Ensure that transportation modeling tools and analytical capabilities are credible and effective for policy analysis; participate in quality assurance and quality control processes.
  • Work collaboratively to advance the state of the practice for transportation tools at the agency.
  • Work from functional specifications and requirements produced by transportation modelers and translate those into efficient, flexible scripts with error handling, testability, and user-centered features.

Qualifications
While the following sections describe required and desirable qualifications, candidates who believe that their particular experience and skills fulfill the requirements are encouraged to apply.
Required
  • A desire to help build an equitable, sustainable, and resilient transportation system for the Boston region
  • Advanced degree in transportation modeling, computer science, data analytics, data science, statistics, mathematics, engineering or related field, and 1-3 years of experience using the required skills or comparable skills
  • Excellent ability to think logically and algorithmically in clear, cogent software design and well-documented code using Python, GitHub, and is familiar with AI supported programming approaches.
  • Experience conducting statistical analysis of datasets, extracting useful information, and fitting mathematical models to describe the data to be programmed into a larger process
  • Experience using data management, procedure development, and data visualization in either R or Python (preferably both)
  • Effective work prioritization, time management, and collaboration skills
  • Facility with version-control software like GitHub and methods
  • Excellent problem solving and analytical skills
  • Effective written and verbal communication skills

Preferred
  • A passion to learn new analytical skills and share knowledge with the team
  • Experience using travel demand modeling software, such as TransCAD, to support large, complex model development and applications projects
  • Strong understanding of econometric and demand models, use and purpose of market segmentation, and interpreting model estimators in the context of behavioral theory
  • Experience building and maintaining code environments for development and production

Compensation and Benefits
This is a full-time position and the starting salary range is $74,000 - $88,000 annually, contingent upon qualifications and experience. The agency offers excellent Massachusetts state employee benefits; a flexible, supportive work environment; and a commitment to ongoing professional development.
The information below is a general overview of the benefit programs offered by Boston Region MPO. The benefits package is subject to change.
  • 75% employer paid medical insurance premium
  • Low cost basic and optional life insurance
  • Retirement Savings plans: Defined Benefit Pension plan through Mass. State Employees Retirement Board System (MSERB) and a Deferred Compensation 457(b) plan
  • Reasonable dental and vision plans
  • Paid vacation time starting at 15 days per year (based on hire date)
  • Paid sick time - 15 days per year
  • 13 paid holidays
  • Up to 5 paid discretionary days per year (pro rated based on start date)
  • Up to 40 paid days for FMLA qualifying events, including parental leave
  • Flexible Spending Accounts for health care and dependent care
  • Transit commuter subsidy up to $225
  • Discounted Blue Bikes membership
  • Tuition assistance
  • Qualified Employer for Public Service Student Loan Forgiveness Program (PSLF)
  • Professional development
  • Professional membership dues assistance
  • Short-term Disability coverage
  • Optional Long-Term Disability coverage
  • Mass4You Wellness Programs and Employee Assistance Program

Boston Region MPO/MAPC is an Equal Opportunity Employer
Employer
Boston Region MPO
Address
10 Park Plaza Suite 2150 Boston, Massachusetts, 02116