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Afternoon Data Analyst R Programming Jobs in Southbridge, MA

CYNET SYSTEMS

Cyber Data Engineering / Architect

Springfield, MA · On-site

$79 - $84/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). * 8+ years of experience working in Cybersecurity, risk ...

Apex Systems

Senior Data Engineer-PBM

Woonsocket, RI · On-site

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

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 Aug 19, 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Southbridge, MA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Southbridge, MA are:

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:

Afternoon Data Analyst R Programming jobs near you
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.

Manager, Advanced Data Analytics and Insights

Fidelity Investments

Smithfield, RI • On-site

Full-time

Re-posted 17 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

16th of 150 rated financial services

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
The Role
As a Manager, Advanced Data Analytics in the Advanced Analytics and Customer Insights organization you would have the opportunity to directly contribute towards this future. We are looking for an analytics professional to be a creative and collaborative team member, helping develop and lead data and hypothesis driven initiatives. You'll be embedded in our Digital Assets business and will partner together to help support and evolve Fidelity Digital Assets® offerings that demonstrate Fidelity's commitment to customer value and high customer experience standards.
This role requires a dedicated, committed, and passionate individual who can:
  • Create and summarizes large datasets in structured and unstructured data.
  • Collect and analyze data / develop insights and reporting capabilities to empower organizational leaders to make decisions.
  • Create solutions leveraging deep statistical analysis to drive thought leadership across the Digital Assets organization
  • Work across diverse skilled teams to find success for Fidelity and our customers.
  • Have a natural intellectual curiosity, initiative, and love for learning new skills and capabilities.

The Expertise and Skills You Bring
  • Bachelor's degree required, Advanced Degree a plus.
  • 4 plus years of experience generating analytical insights to drive business actions.
  • Experience with a range of analytical tools and programming languages such as SQL, Python, R, etc.
  • Experience in designing and developing dashboards and reports by using Tableau, Power BI, Qlik, etc; Business Objects experience a plus.
  • Experience using and querying big data technologies such as Snowflake, Athena, etc.
  • Experience with digital analytics using tools such as Adobe Analytics.
  • Experience in Digital Assets a plus.

The Team
Fidelity Digital Assets® is dedicated to building products and services that help institutions adopt digital assets and innovate within the increasingly digital world of finance. Fidelity Investments began researching blockchain technology and digital assets solutions in 2014, where years of research and development have provided us with the deep expertise necessary to build the future of finance.
The Fidelity Digital Assets® Advanced Analytics and Customer Insights team is central to enhancing and delivering reporting and data analysis capabilities that serve Fidelity Digital Assets® Product and Operations stakeholders with insights on our products and customer segments. Members of our team are highly dynamic, team-oriented and partner with each other, business partners and their teams. We lead by example, seek to continuously improve, deliver creative solutions that solve complex challenges and/or advance the business, and seek to increase the value we provide through our business insights practice.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Data Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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