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Afternoon Data Analyst R Programming Jobs in Burlington, MA

NorthEastern

Temporary Analyst

Boston, MA · Remote

$38/hr

... Data Analyst to join the Crookes Lab. This role supports a research project focused on ... The ideal candidate will be experienced in R programming, have a strong foundation in biostatistics ...

Community Council of Nashua, Inc.

Data Analyst

Nashua, NH · On-site

$54K - $83K/yr

Proficiency in SQL and statistical programming languages (Python, R, SAS, or similar). * Experience with data visualization tools such as Tableau or Power BI. * Strong analytical and problem-solving ...

Greater Nashua Mental Health

Data Analyst

Nashua, NH

$54K - $83K/yr

Proficiency in SQL and statistical programming languages (Python, R, SAS, or similar). * Experience with data visualization tools such as Tableau or Power BI. * Strong analytical and problem-solving ...

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

The Data Analyst serves as a key analytical resource within the office of the COO, responsible for ... Experience with Python, R, or similar analytical programming languages. * Familiarity with ERP/CRM ...

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

The Data Analyst serves as a key analytical resource within the office of the COO, responsible for ... Experience with Python, R, or similar analytical programming languages. * Familiarity with ERP/CRM ...

Ra

Data Analyst

Boston, MA

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are an expertise with R, SAS, SPSS. * You have worked in Healthcare. * You are amazing in using ...

StepStone Group

Data Analyst II

Newton, MA · On-site

Experience with Python (preferred) or R for data analysis (e.g., pandas, numpy) * Experience with data visualization tools such as Tableau or Streamlit * Advanced Excel and spreadsheet analysis ...

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 ...

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 ...

VHB

Senior Transportation Data Analyst

Boston, MA · On-site

$98K - $148K/yr

... engineers, scientists, planners, designers, and technologists. At VHB, we collaborate with ... Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ...

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

Afternoon Data Analyst R Programming information

See Burlington, MA salary details

$37K

$89.9K

$148K

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

As of Jun 28, 2026, the average yearly pay for afternoon data analyst r programming in Burlington, MA is $89,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $105,500.00 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, and why are they important?

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 cities near Burlington, MA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Burlington, MA with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Temporary Analyst

Temporary Analyst

NorthEastern

Boston, MA • Remote

$38/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 hours ago

Job description

About the Opportunity

The Department of Public Health and Health Sciences is seeking a temporary, part-time Data Analyst to join the Crookes Lab. This role supports a research project focused on understanding healthcare utilization patterns among patients at community health centers across the U.S., with a focus on immigrants. The project investigates how state- and county-level social determinants of health affect cardiovascular preventive care use.

The role involves conducting statistical analysis using electronic health records (EHR) and datasets on social determinants of health, as well as contributing to the preparation of peer-reviewed publications and conference presentations. This is a part-time, remote position requiring 20 hours per week. The ideal candidate will be experienced in R programming, have a strong foundation in biostatistics or epidemiology, and demonstrate interest in health equity and social determinants of health. Candidates should be self-motivated, committed to meeting deadlines, and open to collaborative communication throughout the research process.

Responsibilities

Data Management & Analysis:

  • Merge EHR data with external datasets related to social determinants of health

  • Conduct descriptive statistics, longitudinal analyses, and multilevel regression modeling in R

  • Create tables and visualizations to summarize analytic findings

Documentation & Collaboration:

  • Document methods and results for manuscript preparation

  • Prepare analytic outputs (tables, figures) for inclusion in manuscripts and conference abstracts

  • Communicate collaboratively with the research team to ensure analytic needs and timelines are met

Qualifications

Required:

  • Master's degree in Biostatistics, Epidemiology, Public Health, or a related discipline

  • Demonstrated proficiency in R for data cleaning, merging, and statistical modeling

  • Experience conducting longitudinal and/or multilevel regression analysis

  • Strong written communication skills

  • Interest in health equity, healthcare access, or social determinants of health

Preferred:

  • Experience working with electronic health record (EHR) data

Additional Information

This position is ideal for candidates who have data analysis experience and are seeking opportunities to apply it to population health, health equity, and healthcare access research. The Data Analyst will be an integral part of a collaborative academic team and contribute to impactful research on a nationally significant public health issue.

Position Type

Temporary

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

This job is for a current or anticipated job vacancy.

Pay Rate:

$38/hour

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