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Afternoon Data Analyst R Programming Jobs in Springfield, MA

CYNET SYSTEMS

Data Analyst Snowflake

South Windsor, CT · On-site

$47 - $52/hr

Works closely with data engineering and business teams to ensure data accuracy, completeness ... Strong analytical and problem-solving skills. * Strong attention to detail and ability to work with ...

The Hartford

Business Data Analyst

Hartford, CT · Hybrid

$80K - $120K/yr

Consultant Bus Data Analysis - GA08BE We're determined to make a difference and are proud to be an ... We use the latest DATA technologies, software engineering practices, Agile delivery framework, and ...

ALIS Software LLC

Senior Data Analyst

Windsor, CT · On-site

$85K - $107K/yr

Guide junior analysts and provide mentorship on analytical best practices ... Collaborate with ETL & data engineering teams to ensure data integrity, consistency, & availability ...

USM

Sr. Data Analyst

Windsor, CT

$45 - $50/hr

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... Job Title: Sr. Data Analyst Type: Contract Duration: 6+ months Location: Windsor, CT Rate: $45-50 ...

Bridge Energy

Energy Data Analyst (CT)

Hartford, CT

Bridge Energy Services (BES) is seeking an Energy Data Analyst with educational or work experience ... Bachelors degree, preferably in: energy, business, finance, accounting, sciences, engineering, math ...

Varsity Tutors

Data Science Tutor

Hartford, CT · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Northampton, MA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Pwc

Data Strategy-Manager

Hartford, CT · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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

Afternoon Data Analyst R Programming information

See Springfield, MA salary details

$33.9K

$82.4K

$135.5K

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

As of Jun 18, 2026, the average yearly pay for afternoon data analyst r programming in Springfield, MA is $82,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Springfield, MA? For Afternoon Data Analyst R Programming jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Springfield, MA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Springfield, MA with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Research Analyst and Program Assistant

Research Analyst and Program Assistant

Smith College

Northampton, MA • On-site

Full-time

Posted 6 days ago

Smith College rating

8.3

Company rating: 8.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

96th of 537 rated colleges and universities

Job description

Job Summary:
Smith College is one of the largest women’s colleges in the country, dedicated to excellence in teaching and research across the liberal arts. The Research Analyst and Program Assistant role involves supporting the Institutional Research and accreditation teams through data analysis, survey administration, and reporting of institutional statistics, while also providing limited administrative support.
Responsibilities:
• Coordinate and respond to external surveys, ad-hoc, and routine queries about college facts and statistics.
• Find, retrieve, and process information from public higher education and internal data sources.
• Manage survey data collection processes, including incentive payments and data collection timelines.
• Provision Qualtrics survey system users, and provide technical support for user provisioning issues.
• Work as a part of the IR team on diverse projects, including reaccreditation.
• Conduct research design and analysis, including the development of automated systems to process structured data collected from administrative records, surveys, and other means.
• Clean, combine, restructure, and aggregate data from multiple sources to support research objectives and provide clear, accurate tables, data visualizations, reports, and slide decks.
• Process invoices, maintain records, and track expenditures for the IR office.
• Proofread and number-check reports, enter data, prepare documents for publication and presentation.
• Maintain website documents to ensure that information is up-to-date.
• Develop and maintain organization of documents, including IRB and NDA records; implement document retention policy.
• Maintain IR project list including tracking timelines and confirming deliverables for IR team.
Qualifications:
Required:
• Bachelor's Degree and 1-5 years' experience in social science or educational research, analytic, statistical, or data-related work. Hands-on experience gained during undergraduate or graduate education may be included.
• Knowledge of data wrangling, data presentation, and research methods.
• Advanced knowledge of G-Suite and MS Office, including graphing, document formatting, and data management capabilities.
• Demonstrated track record as a proactive learner.
• Excellent attention to detail, strong organizational, writing, and data visualization skills; comfort with quantitative data.
• Ability to manage multiple projects and deadlines independently.
• Excellent communication skills, including visual, verbal, and written communication.
Preferred:
• Knowledge of Institutional research or other higher education data analytics.
• Knowledge of Tableau, R, Qualtrics.
• Statistical analysis, R programming, Tableau data visualization, Qualtrics system use and administration.
Company:
Since its founding in 1871, Smith College has provided women of high ability and promise an education of uncompromising quality. Founded in 1871, the company is headquartered in Northampton, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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