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Afternoon Data Analyst R Programming Jobs in Chelsea, MA

Northeastern University

Temporary Analyst

Boston, MA · On-site

$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 ...

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 ...

Software Technology Inc

Data Analyst

Waltham, MA · On-site

... programming is an asset. MINIMUM SKILLS, KNOWLEDGE AND ABILITY REQUIREMENTS: Good hands-on knowledge of data modeling tools. Knowledge of data analysis and E-R Diagramming techniques. Ability to ...

Samprasoft

Data Analyst

Waltham, MA · On-site

... programming is an asset. MINIMUM SKILLS, KNOWLEDGE AND ABILITY REQUIREMENTS: Good hands-on knowledge of data modeling tools. Knowledge of data analysis and E-R Diagramming techniques. Ability to ...

Kaav Inc.

Data Analyst

Waltham, MA · On-site

... programming is an asset. MINIMUM SKILLS, KNOWLEDGE AND ABILITY REQUIREMENTS: Good hands-on knowledge of data modeling tools. Knowledge of data analysis and E-R Diagramming techniques. Ability to ...

SynergisticIT

Data Analyst

Cambridge, MA · On-site

R. * Python. * SQL and NoSQL. * Machine Learning. * Linear Algebra and Calculus. Education ... Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ...

CERES Group

Data Analyst

Boston, MA · On-site

Expertise in programming languages and databases: SQL server, Python, VBA, Advanced Excel, Access ... Experience with web scrapping, and statistical tools R or SAS Experience with statistical ...

My3Tech Inc

Sr. Data Analyst

Quincy, MA · Remote

$90.40K - $114.10K/yr

Role: Sr. Data Analyst Location: Remote (east coast, US) Term: 3+ Months • Creating functional ... Knowledge of programming languages such as Python or R is a plus. Basic Qualification : Additional ...

Boston Region MPO / CTPS

Data Analyst

Boston, MA · Hybrid

$72K - $85K/yr

... bachelor's degree in a science, technology, engineering, or mathematics (STEM) field ... using R and/or Python and an understanding of relational databases Proficiency processing and ...

Cayuse Holdings

Data Analyst

Boston, MA · On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise ... Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not ...

State of Massachusetts

Data Analyst Lead

Boston, MA · On-site

... AI-assisted programming and data visualization. Candidates will find this role especially ... R, Python, SAS, SQL). * Present analytic findings and insights to non-technical audiences in a ...

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Afternoon Data Analyst R Programming information

See Chelsea, MA salary details

$36.9K

$89.8K

$147.8K

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

As of May 28, 2026, the average yearly pay for afternoon data analyst r programming in Chelsea, MA is $89,798.00, 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.

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 job categories do people searching Afternoon Data Analyst R Programming jobs in Chelsea, MA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Chelsea, MA are:
What cities near Chelsea, MA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Chelsea, 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 Chelsea, MA as of May 2026, with employment types broken down into 83% Full Time, 11% Part Time, 4% Contract, and 2% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $89,798 per year, or $43.2 per hour.

Temporary Analyst

Northeastern University

Boston, MA • On-site

$38/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 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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