1

Afternoon Data Analyst R Programming Jobs in Burlington, MA

... data and analysis infrastructure platforms and other technical solutions to support the data flow from data collection to data submission. Using expertise in R programming and clinical trials to ...

Sr Data Analyst/Data Analyst

Sudbury, MA ยท 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 ...

Sr Data Analyst/Data Analyst

Sudbury, MA ยท 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 ...

Data Analyst

Natick, MA ยท On-site

Analyze data generated from engineering testing, production, and manufacturing activities to ... identify trends, anomalies, and opportunities for improvement. * Develop reports, dashboards, and ...

Data Analyst

Natick, MA ยท On-site

Analyze data generated from engineering testing, production, and manufacturing activities to ... identify trends, anomalies, and opportunities for improvement. * Develop reports, dashboards, and ...

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 ...

HDS Senior Data Analyst

Somerville, MA ยท On-site

$93K - $118K/yr

The role requires strong expertise in Snowflake SQL, Python, and R, with an emphasis on reproducible, well-documented analytical workflows. In addition, the Senior Data Analyst will serve as a ...

HDS Senior Data Analyst

Somerville, MA ยท On-site

$93K - $118K/yr

The role requires strong expertise in Snowflake SQL, Python, and R, with an emphasis on reproducible, well-documented analytical workflows. In addition, the Senior Data Analyst will serve as a ...

... 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 ...

... 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 ...

... 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 ...

Data Analyst

Quincy, MA ยท On-site

$65 - $68/hr

This position works collaboratively with epidemiologists, program staff, analytics teams, developers, and external partners to maintain data integrity across state public health information systems ...

The analyst will collaborate with business stakeholders to gather and translate requirements for data development teams, and work closely with engineers to define, implement, and validate acceptance ...

New

next page

Showing results 1-20

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 Jul 29, 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Burlington, MA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Burlington, MA are:
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:
Senior R Statistical Programmer

Senior R Statistical Programmer

Cytel

Cambridge, MA โ€ข On-site, Remote

Full-time

Posted 13 days ago


Job description


The R Technical Solutions Programmer is responsible for implementing the vision for data and analysis infrastructure platforms and other technical solutions to support the data flow from data collection to data submission. Using expertise in R programming and clinical trials to create solutions that will enable an open-source ecosystem for programming. This role will coordinate gathering and prioritizing requirements in the process of design and delivery of fit-for-purpose data and analysis technical solutions.
Responsibilities
  • Collaborates with internal teams to understand requirements and develop processes, tools and utilities that will improve quality and efficiency
  • Develops reusable and robust R package code and/or utilities, along with detailed training/documentation
  • Promotes technical innovation to drive the development of data analysis and visualization solutions within a clinical data environment
  • Partners with study teams in use and further improvement of processes and tools
  • Facilitates change management activities and training for department systems and processes

Qualifications
  • Minimum 5 years' industry experience (Pharma, Biotech, CRO)
  • Experience with R within regulated clinical development environments
  • Strong R data manipulation and analysis skills using standard tidyverse packages
  • Strong R visualization skills for use in static outputs and dashboards
  • Experience with developing R packages including proper documentation and testing
  • Experience developing SAS code including SAS/MACRO preferred
  • Familiarity with Posit products including Workbench, Positron, and Connect
  • High attention to detail including proven ability to manage multiple, competing priorities
  • Familiarity with drug development life cycle and experience with manipulation, analysis, and reporting of clinical trials' data
  • Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners