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Part Time Data Analyst R Programming Jobs in Boston, MA

Syner-G

Payroll Analyst (Part-time)

Framingham, MA · On-site

The Part-time Payroll Analyst position is eligible for remote work based on company requirements ... Validate timekeeping data, resolve discrepancies, and ensure proper documentation for each pay ...

Syner-G

Payroll Analyst (Part-time)

Framingham, MA · On-site

The Part-time Payroll Analyst position is eligible for remote work based on company requirements ... Validate timekeeping data, resolve discrepancies, and ensure proper documentation for each pay ...

Behavioral Concepts (BCI)

Part-Time BCBA

Wilmington, MA

$70 - $84/hr

Person-centered care and assent-based treatment programming * Support from multiple specialty teams ... Analyze data/behavior and makes data-based decisions * Guide ongoing implementation of teaching ...

LXT

Be Seen First

Part-Time Retail Data Collection Associate (Driving Role)

Waltham, MA · On-site

$23/hr

Employment Type * Part-time employee (less than 30 hours per week) * Employed through an Employer ... shelves for data analysis. Work is project-based but ongoing, with variable hours ( Key ...

The Edinburg Center

BCBA

Burlington, MA

$80K - $98K/yr

Experience with the VB-MAPP, ABLLS-R, AFLS or other related assessments preferred. . Excellent ... based on data analysis Provide training and supervision to Behavior Technicians Train parents ...

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All JobsData Analyst R Programming JobsPart Time Data Analyst R Programming JobsPart Time Data Analyst R Programming Jobs in Boston, MA

Part Time Data Analyst R Programming information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

How much do part time data analyst r programming jobs pay per year?

As of Jul 8, 2026, the average yearly pay for part time data analyst r programming in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Age is not a barrier to becoming a data analyst or data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as R programming, statistical knowledge, and experience with data tools, regardless of age.

What is the difference between Part Time Data Analyst R Programming vs Part Time Data Analyst Python?

AspectPart Time Data Analyst R ProgrammingPart Time Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentData analysis, reporting, statistical modelingData analysis, automation, machine learning projects
Industry UsageResearch, healthcare, financeTech, finance, marketing

Both roles involve data analysis in a part-time setting but differ mainly in programming language expertise. R is favored for statistical analysis and visualization, while Python is preferred for automation and machine learning tasks. Your choice depends on the specific tools and industry focus.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but a data analyst's role involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Skills in programming, statistical analysis, and understanding business context remain essential for data analysts to add value beyond automation.

Are R programmers in demand?

R programmers, including those with expertise in data analysis and statistical modeling, are in demand across industries such as finance, healthcare, and technology. Skills in R, along with knowledge of data visualization and data manipulation, increase employability in roles like data analyst and data scientist, especially as companies prioritize data-driven decision-making.

Is R important for data analysts?

R is a widely used programming language for data analysts, especially in statistical analysis and data visualization. Proficiency in R can enhance a data analyst's ability to manipulate data, perform complex analyses, and generate reports, making it a valuable skill in the field.
What are the most commonly searched types of Data Analyst R Programming jobs in Boston, MA? The most popular types of Data Analyst R Programming jobs in Boston, MA are:
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Part Time Data Analyst R Programming jobs near you
Infographic showing various Part Time Data Analyst R Programming job openings in Boston, MA as of July 2026, with employment types broken down into 20% Internship, 20% Full Time, 40% Part Time, and 20% Contract. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution, with an average salary of $89,780 per year, or $43.2 per hour.
Adjunct Faculty - Center for Research and Discovery

Adjunct Faculty - Center for Research and Discovery

MCPHS University

Boston, MA • On-site

Part-time

Re-posted 24 days ago

Job description

The Research Readiness & Academic Programs adjunct faculty role is a part-time position within the Center for Research and Discovery (CRD), reporting directly to the Dean of the CRD. This role supports a range of high-priority academic initiatives, including the Research Readiness curriculum, online course content development in Blackboard, student travel policy finalization, micro-credentialing program development, and data analysis. The position is onsite at the Boston campus, beginning June 1, 2026.
Essential Duties and Responsibilities:
Research Readiness Curriculum Support
  • Assist in the development and refinement of the Research Readiness curriculum, ensuring alignment with institutional and Center goals and evidence-based practices.
  • Collaborate with other CRD faculty and staff members to identify curriculum gaps and recommend improvements.
  • Support the organization and coordination of curriculum materials, timelines, and deliverables.
  • Contribute to the assessment and continuous improvement of course content and learning outcomes.

Blackboard Content Development
  • Create, organize, and maintain course content within the Blackboard learning management system (LMS).
  • Upload and format instructional materials including modules, assignments, assessments, and multimedia resources.
  • Ensure course sites are accessible, user-friendly, and consistent with institutional standards and accessibility guidelines.
  • Troubleshoot basic Blackboard issues and coordinate with the Instructional Design Team as needed.

Student Travel Policy Finalization
  • Support the finalization and documentation of a comprehensive student travel policy in coordination with other CRD faculty members.
  • Review existing draft materials, identify areas requiring clarification or revision, and assist in incorporating feedback.
  • Maintain organized records of policy documents and revision history.

Micro-Credentialing Program Development
  • Assist in the research, design, and development of a micro-credentialing program aligned with institutional and Center priorities.
  • Support the identification and documentation of competency frameworks, badge criteria, and program pathways.
  • Coordinate with internal stakeholders and external partners to gather relevant information and best practices.
  • Help develop promotional and informational materials to support program launch and student engagement.

Data Analysis
  • Collect, organize, and analyze data related to curriculum effectiveness, student engagement, program participation, and policy outcomes.
  • Prepare clear and concise reports, summaries, and visualizations to support data-informed decision-making within the CRD.
  • Assist in the development of data collection tools such as surveys, tracking spreadsheets, and reporting templates.
  • Maintain data integrity and confidentiality in accordance with institutional policies.

Other Duties
  • Perform other duties as assigned by the Dean of the CRD in support of the Center's mission and strategic initiatives.

Required
  • Minimum of a master's degree in health education, health sciences, public health, clinical investigation, pharmacy, or a related field.
  • Demonstrated experience or coursework in curriculum development, instructional design, or academic program support.
  • Strong analytical skills with the ability to collect, interpret, and present data clearly.
  • Excellent written and verbal communication skills.
  • Highly organized with strong attention to detail and the ability to manage multiple projects simultaneously.
  • Ability to work collaboratively with faculty, staff, and students across programs.

Preferred
  • Experience in a higher education or healthcare academic setting.
  • Familiarity with micro-credentialing frameworks, digital badging platforms, or continuing education programs.
  • Experience developing or revising institutional policies.
  • Proficiency with data analysis and visualization tools (e.g., Excel, Tableau, R, SAS, or similar).
  • Demonstrated ability to work effectively in a team environment

Physical Requirements:
  • Typical office or administrative working conditions. Work is primarily sedentary in nature; there are no special physical demands.

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