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Afternoon Data Analyst R Programming Jobs in Canton, MA

MIT Lincoln Laboratory

Data Analyst

Lexington, MA

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA · On-site

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering ...

3B Staffing LLC

Data Analyst

Everett, MA · On-site

* Collaborate with business research analysts to identify data needs. * Create and document data ... Reverse engineer schemas and queries using available tools and methodologies, with the goal of ...

3B Staffing LLC

Data Analyst

Everett, MA · On-site

* Collaborate with business research analysts to identify data needs. * Create and document data ... Reverse engineer schemas and queries using available tools and methodologies, with the goal of ...

Anduril Industries

People Data Analyst

Boston, MA

ABOUT THE TEAM The People Analytics team is at the forefront of transforming how we understand and ... Familiarity with Python or R for basic data manipulation tasks. * Familiarity with Palantir Foundry

CGI Inc.

Data Analyst

Canton, MA · On-site

Data Engineering * ETL * Functional Analysis * Health Care Payers * Oracle * Oracle PL/SQL * SQL * Teradata * Test case / script development * Use Cases What you can expect from us: Together, as ...

Dhalite Inc.

Junior Data Analyst

Boston, MA · On-site

Collaborate with analysts, developers, and business teams Qualifications: * Bachelor s or Master s degree in Computer Science, Information Systems, IT, Data Analytics, Business Analytics, Statistics ...

Anduril Industries

People Data Analyst

Boston, MA · On-site

$112K - $149K/yr

ABOUT THE TEAM The People Analytics team is at the forefront of transforming how we understand and ... Familiarity with Python or R for basic data manipulation tasks. * Familiarity with Palantir Foundry ...

Johnson & Johnson

Analyst, R&D

Raynham, MA · On-site

DePuy Synthes is recruiting fora(n) Analyst, R&DCategory ,locatedin Raynham, MA OR New Brunswick NJ ... Maintain and analyze procurement data toidentifycost, performance, and efficiency opportunities.

Anduril Industries

People Data Analyst

Boston, MA · On-site

$112K - $149K/yr

ABOUT THE TEAM The People Analytics team is at the forefront of transforming how we understand and ... Familiarity with Python or R for basic data manipulation tasks. * Familiarity with Palantir Foundry ...

Husch Blackwell Llp

Enterprise Data Analyst

Boston, MA · On-site +1

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Husch Blackwell LLP

Enterprise Data Analyst

Boston, MA · On-site +1

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Jj

Analyst, R&D

Raynham, MA · On-site

DePuy Synthes is recruiting fora(n) Analyst, R&DCategory ,locatedin Raynham, MA OR New Brunswick NJ ... Maintain and analyze procurement data toidentifycost, performance, and efficiency opportunities.

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Canton, MA

Afternoon Data Analyst R Programming information

See Canton, MA salary details

$36K

$87.4K

$143.8K

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

As of Aug 12, 2026, the average yearly pay for afternoon data analyst r programming in Canton, MA is $87,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What job categories do people searching Afternoon Data Analyst R Programming jobs in Canton, MA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Canton, MA are:
What cities near Canton, MA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Canton, MA with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Canton, MA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $87,384 per year, or $42 per hour.

Data Analyst

MIT Lincoln Laboratory

Lexington, MA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description

The Homeland Protection Systems Group works with the U.S. Government and other stakeholders to develop, assess, and rapidly transition advanced technologies to address emerging national security priorities in the homeland. In recent years, the group has successfully deployed innovative technology solutions to safeguard the National Airspace, population centers, and critical infrastructure. Leveraging our expertise in complex systems analysis, advanced algorithm development, and hardware prototyping, our team of analysts, engineers, and technologists applies cutting-edge techniques in data analysis, predictive analytics, and systems engineering to solve complex Homeland Protection problems and strengthen national security.

Job Description

Our group is seeking highly motivated data scientists interested in solving challenging technical problems that impact the real world. As part of an interdisciplinary team, our assistant technical staff support projects through physics-based modeling, data analysis, and algorithm development using a combination of advanced analytics and critical reasoning. Technical staff employ computing environments such as MATLAB, Python, or Julia to create quantitative analysis products and assist project leads in developing high-impact briefings for Government change-makers. Upon joining the group, the candidate will work with an experienced team to learn about the Homeland Protection mission and develop a career path that matches their technical interests.

Requirements
  • Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering, Data Science, Computer Science or similar field)
  • Strong expertise in MATLAB, Python, or Julia
  • Demonstrated proficiency working with data (e.g., collection, curation, transformation, processing, visualization)
  • Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series analysis, Monte Carlo simulation, etc.)  
  • Basic knowledge of descriptive and inferential statistics (e.g., graphical techniques, predictive inference, etc.)
  • Ability to work well as part of a team and rapidly learn new skills
Desired Requirements
  • Interest in National Security
  • Experience with large, complex datasets (i.e., big data)
  • Experience with source control management tools like Git
  • Experience with machine learning frameworks
  • Strong presentation and communication skills


Recent Graduate Hiring Range: $100,200 - $120,000
Experienced Hiring Range: $100,200 - $150,000

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

Requisition ID: 42729 

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