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Afternoon Data Analyst R Programming Jobs in Brookline, MA

Data Analyst - Admissions

Medford, MA · On-site

$61K - $91K/yr

... of Engineering, and the School of the Museum of Fine Arts at Tufts. Tufts Admissions is charged ... Experience with statistical software, such as R, State, SPSS, or other tools * Demonstrated project ...

Technical Data Analyst

Boston, MA · On-site

$62 - $65/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field (or equivalent experience). * 5+ years of experience in data analysis, data quality, or data ...

We started as a small team of developers determined to bring trust and transparency to car shopping ... Be comfortable escalating and automating your analyses using R/Python scripting. What you'll bring ...

We started as a small team of developers determined to bring trust and transparency to car shopping ... Be comfortable escalating and automating your analyses using R/Python scripting. What you'll bring ...

Technical Data Analyst

Boston, MA · On-site

$55 - $60/hr

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field (or equivalent experience) * 5+ years of experience in data analysis, data quality, or data ...

Unlike a pure engineering role, this position requires a high degree of business knowledge. The ... Data Analysis & Cleanup: * Analyze large datasets of security and benchmark data (Equities, Fixed ...

Clinical Data Analyst

Somerville, MA · On-site +1

$94 - $128/hr

... programming • Strong attention to detail, documentation and communication skills • Understanding of statistical methods and their application • Experience working with real-world healthcare ...

Sustainment Data Analyst

Tewksbury, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Systems Engineering and Test Capabilities (SE&TC) Discipline organization is the central focus ... As a Sustainment Data Analyst , you'll be assigned to one or more LTAMDS or IRAD programs and will ...

Sustainment Data Analyst

Tewksbury, MA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Systems Engineering and Test Capabilities (SE&TC) Discipline organization is the central focus ... As a Sustainment Data Analyst , you'll be assigned to one or more LTAMDS or IRAD programs and will ...

Senior Sales Data Analyst

Boston, MA · On-site

$93K - $117K/yr

We started as a small team of developers determined to bring trust and transparency to car shopping ... Role Overview CarGurus is hiring a Senior Sales Data Analyst to support our Inventory & Data pillar ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Brookline, MA salary details

$36.8K

$89.4K

$147.1K

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

As of Aug 18, 2026, the average yearly pay for afternoon data analyst r programming in Brookline, MA is $89,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $104,900.00 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Brookline, MA?

For Afternoon Data Analyst R Programming jobs in Brookline, MA, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Brookline, MA look for?

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

What cities near Brookline, MA are hiring for Afternoon Data Analyst R Programming jobs?

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

Infographic showing various Afternoon Data Analyst R Programming job openings in Brookline, MA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 3% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $89,410 per year, or $43 per hour.

Data Analyst - Admissions

Tufts University

Medford, MA • On-site

$61K - $91K/yr

Full-time

Re-posted 24 days ago


Tufts University rating

8.4

Company rating: 8.4 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

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Job description

Overview
The Office of Undergraduate Admissions is responsible for the recruitment, selection, and enrollment of the first year and transfer classes each year for the School of Arts & Sciences, School of Engineering, and the School of the Museum of Fine Arts at Tufts. Tufts Admissions is charged with meeting various enrollment goals across schools and programs.
What You'll Do
A letter of interest and resume are required for this position.
Reporting to the Director of Strategic Planning, the Admissions Data Analyst will be responsible for the following:
Implement and support the office's strategy for data collection, analysis, and presentation. Portfolio oversight typically involves long-term management of complex projects including data analysis and assessment, management of contributing staff members and/or student workers, delegation of project components, and the creation and presentation of training materials.
  • Projects specific to this portfolio include, but are not limited to:
    • Analyzing both applicant and enrollment data to identify trends and opportunities, and to evaluate the effectiveness of office initiatives.
    • Monitoring and reporting on key performance indicators (KPIs) to inform strategic planning for recruitment, yield, and prospect funnel.
    • Creating and/or contributing to presentations, reports, and deliverables appropriate for a variety of campus stakeholders.
    • Synthesizing and communicating data, methods, conclusions, and recommendations in an effective and relevant manner.
  • Liaise with campus partners, such as the Office of Graduate Admissions, the Office of Institutional Research, University Counsel, and the Student Services Technology Team, regarding data and project based work.
  • Liaise with external partners, such as College Board, Scoir, Common Application, and Coalition for College.
  • As requested by the Dean and/or Director, create, facilitate, or contribute to office training initiatives for admissions officers and/or administrative staff.
  • Complete other projects and duties as assigned.

While our office functions in a hybrid modality, the Admissions Data Analyst should expect to have a regular campus presence.
This description is not intended to be all-inclusive. Employees may perform other duties as assigned to meet the ongoing needs of the organization.
What We're Looking For
Basic Requirements:
Knowledge and experience typically acquired by:
  • Bachelor's Degree
  • Several years of progressively responsible experience in data analysis
  • Excellent communication, public speaking, and presentation skills
  • Demonstrated experience with and strong working knowledge of Slate or a similar CRM
  • Demonstrated experience creating and delivering data-driven reports and presentations
  • Strong analytical skills and the ability to "tell a story" using data
  • Experience with statistical software, such as R, State, SPSS, or other tools
  • Demonstrated project management skills, preferably in a fast-paced, timeline-driven environment
  • Cultural sensitivity and experience working with diverse populations
  • Comfort traveling both independently and as part of a group

Preferred Qualifications:
  • Experience working within higher education

Pay Range
Minimum $61,200.00, Midpoint $76,500.00, Maximum $91,800.00
Salary is based on related experience, expertise, and internal equity; generally, new hires can expect pay between the minimum and midpoint of the range.

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