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Afternoon Data Analyst R Programming Jobs in Southbridge, MA

Provide timely and accurate analytical support to the team, ensuring results are validated and ... Basic level of programming in any of the following: SAS, SQL, VBA, R, PYTHON or JAVA.

Provide timely and accurate analytical support to the team, ensuring results are validated and ... Basic level of programming in any of the following: SAS, SQL, VBA, R, PYTHON or JAVA.

Oncology Data Specialist

Northborough, MA · Remote

$150K - $200K/yr

Proficiency in data analysis tools and statistical software (e.g., Python, R) * Strong understanding of oncology and healthcare data standards * Excellent attention to detail and commitment to data ...

Azure Data Engineer

Shrewsbury, MA · On-site

$80 - $100/hr

Analyze, manipulate, and process large sets of structured and semi-structured data including health ... Implement version control and deployment processes using Azure DevOps and Git to support ...

Senior Data Engineer-PBM

Woonsocket, RI · On-site

$109K - $131K/yr

Leverages data management experience to design large scale data structures that support efficient consumption of analytic results. * Uses strong programming skills in Python, Java or any of the major ...

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Afternoon Data Analyst R Programming information

See Southbridge, MA salary details

$35.2K

$85.6K

$140.9K

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

As of Sep 8, 2026, the average yearly pay for afternoon data analyst r programming in Southbridge, MA is $85,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $100,500.00 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 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 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 cities near Southbridge, MA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Southbridge, MA with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Southbridge, MA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $85,617 per year, or $41.2 per hour.

Intern - Compliance Data Analyst

Worcester, MA • On-site

Full-time, Internship

Posted 14 days ago


Job description

Our Compliance and Ethics team, a division of the Office of General Counsel, is seeking exceptional college students for our Summer Internship Program, which provides meaningful opportunities for personal and professional growth, as well as rewarding career path options. Compliance professionals play a pivotal role in ensuring companies and organizations operate in full compliance with legal regulations and industry-specific guidelines. They also monitor internal policies and bylaws.

In the event of regulatory risks or misconduct, compliance officers address concerns and find solutions to these challenges.

The growing demand for compliance jobs reflects the increasing regulatory environment and the need for organizations to demonstrate ethical practices.

IN THIS ROLE, YOU WILL:

  • Provide a wide range of support on various compliance-related functions in partnership with various members of the Compliance and Ethics team
  • Leverage visualization tools to prepare reports for Compliance leadership and various internal departments
  • Participate in special projects as requested
  • Design and implement solutions to move manual processes to automated and repeatable Compliance processes
  • Provide timely and accurate analytical support to the team, ensuring results are validated and accurate
  • Participate in the development of innovative solutions to use existing information to its fullest potential
  • Assist in developing tools, processes, and reporting analytics in support of business growth and needs
  • Create and present a final presentation for management and leadership members at the close of the internship program highlighting the work you accomplished throughout the summer

WHAT YOU NEED TO APPLY:

  • Currently enrolled in a bachelor's degree or advanced degree program
  • Cumulative GPA of 3.0 or higher preferred
  • Ability to commit to a full time 10-week internship program
  • Ability to work in the U.S. without requiring sponsorship now or in the future
  • Strong analytical, verbal and written communication skills
  • Ability to multi-task and prioritize while remaining focused and organized
  • Curiosity and willingness to learn a variety of different functions and projects.
  • Understanding of commonly employed techniques for quantitative analysis
  • Ability to work independently with guidance and direction as appropriate
  • Ability to manage and prioritize multiple projects simultaneously
  • Familiar with database concepts
  • Basic understanding and usage of Power BI, Power Automate, SharePoint, and Microsoft Suite
  • Basic level of programming in any of the following: SAS, SQL, VBA, R, PYTHON or JAVA.