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Afternoon Data Analyst R Programming Jobs in Southbridge, MA

Dexian

Data Analyst

Smithfield, RI · On-site

Should have proven general experience programming languages and relational databases * Excellent ... Analyzing the client source data to identify issues, potential causes, and suggested remediation

Dexian DISYS

Data Analyst

Smithfield, RI · On-site

Should have proven general experience programming languages and relational databases * Excellent ... Analyzing the client source data to identify issues, potential causes, and suggested remediation

Dell, Inc.

Senior Analyst, Data Engineering

Hopkinton, MA · On-site

$102K - $132K/yr

... Programming & Automation : Proficiency in Python for automation, orchestration, and custom data ... Analytics, Reporting & Modern Data Platforms : Knowledge of Power BI or other visualization tools ...

Vencora

Software Developer I (Analyst)

Worcester, MA · On-site

Write SQL queries for data extraction, basic reporting, and troubleshooting * Support basic reporting and data requests, bridging the gap between the Data Analyst and Software Developer II roles

Covenir

Software Developer I (Analyst)

Worcester, MA · On-site +1

Write SQL queries for data extraction, basic reporting, and troubleshooting * Support basic reporting and data requests, bridging the gap between the Data Analyst and Software Developer II roles

Covenir

Software Developer I (Analyst)

Worcester, MA · On-site

Write SQL queries for data extraction, basic reporting, and troubleshooting * Support basic reporting and data requests, bridging the gap between the Data Analyst and Software Developer II roles

Vencora

Software Developer I (Analyst)

Worcester, MA · On-site +1

Write SQL queries for data extraction, basic reporting, and troubleshooting * Support basic reporting and data requests, bridging the gap between the Data Analyst and Software Developer II roles

Lancesoft

Data Analytics Engineer

Springfield, MA · On-site

$80 - $85/hr

G., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). * 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep handson ...

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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 Jul 29, 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 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 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 July 2026, with employment types broken down into 1% As Needed, 49% Full Time, 41% Part Time, 1% Temporary, 2% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $85,617 per year, or $41.2 per hour.
Principal IT Data Analyst

Principal IT Data Analyst

Fidelity Investments

Smithfield, RI • On-site

$115K - $166K/yr

Full-time

Posted 14 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 270 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services

Job description


Position Description:
Note: Fidelity will not provide immigration sponsorship for this position.
Develops and maintains curated data repositories for an enterprise analytics platform. Analyzes complex datasets from several sources (demographics and investments) using SQL, Python, and front-end analytics (Tableau). Writes and updates design documentation using Confluence. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.
Primary Responsibilities:
  • Recommends design changes to complex, interrelated systems designed to meet complicated requirements, improve performance, or reduce costs of ownership.
  • Designs new systems based on requirements gathered during the requirements analysis phase.
  • Mentors other analysts in the documentation of large and complex projects.
  • Monitors the quality and progress of documents.
  • Documents formal specifications describing solutions to meet requirements.
  • Analyzes data held within transactional, warehouse, and data lakes, and communicates findings to senior management.
  • Analyzes information processing and computation needs.
  • Plans and designs computer systems using structured analysis, data modeling, and information engineering.
  • Develops, documents, and revises system design procedures, test procedures, and quality standards.
  • Consults with management to ensure agreement on system principles.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal IT Data Analyst (or closely related occupation) performing data analysis, profiling, and modeling across Legal, Risk, & Compliance functions within the financial domain, using SQL, PL/SQL, and Python.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal IT Data Analyst (or closely related occupation) performing data analysis, profiling, and modeling across Legal, Risk, & Compliance functions within the financial domain, using SQL, PL/SQL, and Python.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") translating business requirements into data driven solutions (to create conceptual, logical and physical models) using SAP Power Designer; supporting unstructured and semi structured data storage design patterns using AWS-S3, Kafka, and Snowflake; parsing out attributes from data to identify patterns, using SQL, KSQL, or PL/SQL; and analyzing, evaluating, and creating data objects based on relational or dimensional data models in Oracle, Snowflake, MySQL, and PostgreSQL.
  • DE developing data profiling frameworks using SQL and Python; performing end-to-end data analysis and sourcing (to target data mapping) using Oracle, Snowflake, and ICEDQ; and establishing governance and dictionary data practices using Alation and Collibra.
  • DE designing and implementing data movement processes for data warehouses or datalakes by developing mappings and extract, transform, load (ETL) workflows, using Informatica, Apache Nifi, or Control-M; deploying code changes using Github or Jenkins; performing application testing to write stored procedure using PL/SQL and Python adhering to coding standards; and optimizing SQL queries and batch processes using Oracle, Snowflake, NiFi, and DBT.
  • DE performing data wrangling using Python, R, Alteryx, and Jupyter Notebook; performing data visualization using BI tools (PowerBI, tableau, and Excel); developing Machine Learning (ML) models using Artificial Intelligent (AI)/ML algorithm (decision tree model, k-Nearest Neighbors (KNN) model, Binary tree model, and Linear and Logistic regression data model) and Python and R to evaluate external and internal risk scores; and performing story creation, backlog refinement, and sprint planning according to Agile methodologies (Jira), within a financial services compliance environment.

Salary: $115,775.00 to $166,000.00/year.
#PE1M2
#LI-DNI
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:
Information Technology
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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