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Afternoon Data Analyst R Programming Jobs in Cambridge, MA

StepStone Group

Data Analyst II

Newton Center, MA · On-site

Experience with Python (preferred) or R for data analysis (e.g., pandas, numpy) * Experience with data visualization tools such as Tableau or Streamlit * Advanced Excel and spreadsheet analysis ...

StepStone Group

Data Analyst II

Newton, MA · On-site

Experience with Python (preferred) or R for data analysis (e.g., pandas, numpy) * Experience with data visualization tools such as Tableau or Streamlit * Advanced Excel and spreadsheet analysis ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA · On-site

Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

SynaptiCure Inc.

Staff Data Analyst

Boston, MA · Remote

... Analytics Engineer, BI Architect, or equivalent) with proven impact in complex, high-growth ... Experience using Python or R for advanced statistical modeling or machine learning * Deep ...

Alcumus

Data Analyst

Burlington, MA · On-site

You'll ensure that the data used across Finance, Product, Sales, and Engineering is accurate and ... Analytical. You excel at analyzing large datasets, identifying patterns and anomalies, and ...

Veriforce

Data Analyst

Burlington, MA · On-site

$100K - $110K/yr

You'll ensure that the data used across Finance, Product, Sales, and Engineering is accurate and ... Analytical. You excel at analyzing large datasets, identifying patterns and anomalies, and ...

Ascensus

Data Analyst Intern

Newton, MA · On-site

$20/hr

Collaborate with data engineering, IT, and analytics teams to learn how data pipelines and ... Coursework or project experience using Python or R for data analysis * Familiarity with basic data ...

Ascensus, LLC.

Data Analyst Intern

Newton, MA · On-site

$20/hr

Collaborate with data engineering, IT, and analytics teams to learn how data pipelines and ... Coursework or project experience using Python or R for data analysis * Familiarity with basic data ...

ASCENSUS

Data Analyst Intern

Newton, MA · On-site

$20/hr

Collaborate with data engineering, IT, and analytics teams to learn how data pipelines and ... Coursework or project experience using Python or R for data analysis * Familiarity with basic data ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA · On-site

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering ...

SynergisticIT

Data Analyst

Boston, MA · On-site

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply:

MIT Lincoln Laboratory

Data Analyst

Lexington, MA · On-site

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering ...

CrunchTime

Data Analyst

Boston, MA · On-site +1

$75K - $105K/yr

Contribute to best practices in data engineering, including code quality, testing standards, and scalable architecture. What We're Looking For * 2+ years of professional experience in data analytics ...

PeopleServe

Data Analyst

Boston, MA · On-site

Data Analyst The Team The Defined Benefit organization provides companies with the expertise and ... Should have proven general experience programming languages and relational databases * Excellent ...

Ascensus

Data Analyst Intern

Newton Center, MA · On-site +1

$20/hr

Collaborate with data engineering, IT, and analytics teams to learn how data pipelines and ... Coursework or project experience using Python or R for data analysis * Familiarity with basic data ...

VHB

Senior Transportation Data Analyst

Boston, MA

$98.50K - $148K/yr

... engineers, scientists, planners, designers, and technologists. At VHB, we collaborate with ... Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ...

VHB

Senior Transportation Data Analyst

Boston, MA · On-site

$98.50K - $148K/yr

... engineers, scientists, planners, designers, and technologists. At VHB, we collaborate with ... Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ...

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Afternoon Data Analyst R Programming information

See Cambridge, MA salary details

$37.2K

$90.3K

$148.6K

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

As of May 28, 2026, the average yearly pay for afternoon data analyst r programming in Cambridge, MA is $90,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $106,000.00 per year, depending on experience, location, and employer.

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 Cambridge, MA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Cambridge, MA are:
What cities near Cambridge, MA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Cambridge, 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 Cambridge, MA as of May 2026, with employment types broken down into 75% Full Time, 18% Part Time, 5% Contract, and 2% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $90,324 per year, or $43.4 per hour.
Data Analyst II

Data Analyst II

StepStone Group

Newton Center, MA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Company Description
Appcast is the global leader in programmatic recruitment advertising technology and services. With advanced technology, unmatched market data and a team of the industry's best recruitment marketers, Appcast's technology and services manage job advertising annually for enterprise clients across industries. Headquartered in Lebanon, N.H. with offices in the U.S., Canada and Europe. Appcast is part of the Stepstone group, a leading digital recruitment platform that connects companies with the right talent and helps people find the right job.
Job Description
The Data Analyst II on the Appcast Data & Insights Team works at the convergence of data, recruiting strategy, and product insights. This role focuses on turning complex recruitment marketing data into clear, actionable recommendations and compelling narratives. Data Analyst II operates with a high degree of independence and is responsible for delivering analyses, dashboards, and client-facing insights end-to-end.
Data Analyst II supports Account Managers, Product teams, and internal stakeholders to understand performance trends, identify key drivers, and communicate data into meaningful customer context that supports client strategy. This includes not only reporting on what is happening but also helping explain why it matters and how it informs strategic decisions. They also lead or own components of client business reviews, build dashboards and reporting tools, and translate labor market and performance data into clear narrative-driven insights. This role requires strong analytical skills, comfort working with large datasets, and the ability to communicate complex findings clearly to both technical and non-technical audiences.
Job Responsibilities
  • Analyze Performance Data and Identify Insights: Work with large and complex datasets to identify trends, performance gaps, and opportunities for optimization. Apply independent judgement to interpret findings and deliver actionable insights that support client strategies and internal decision-making.
  • Create Client-Facing Insights and Business Reviews: Lead the development of analyses and visualizations for client presentations (e.g., QBRs, custom reports). Craft clear, compelling narratives that connect data to business outcomes, helping clients understand performance trends, labor market dynamics, and strategic opportunities.
  • Build and Maintain Dashboards and Reporting: Design, build, and own dashboards and automated reporting tools using platforms such as Tableau or Streamlit. Ensure reporting is accurate, scalable, and aligned to support decision-making.
  • Collaborate Across Teams: Partner closely with Account Management and Product teams to translate data into clear, actionable insights. Provide analytical direction and input into product initiatives, internal tools, and cross-team projects.
  • Improve Analytics and Reporting Processes: Proactively identify and implement improvements to enhance data workflows, reporting efficiency, and automation. Contribute to advancing the team's analytical capabilities using tools such as SQL, Python, or R.
  • Manage Analytical Projects and Documentation: Track projects and maintain documentation using systems such as Salesforce, JIRA, GitHub, and Confluence to ensure transparency and reproducibility. Independently manage moderately ambiguous analytical requests from intake through delivery, applying structured problem-solving and sound judgment to deliver clear, reliable outputs.
Qualifications
  • Strong analytical foundation in statistics, economics, data science, or a related quantitative field
  • Proficiency in SQL and experience working with relational databases
  • Experience with Python (preferred) or R for data analysis (e.g., pandas, numpy)
  • Experience with data visualization tools such as Tableau or Streamlit
  • Advanced Excel and spreadsheet analysis skills
  • Demonstrated ability to exercise independent judgment in analyzing data and making recommendations
  • Ability to manage multiple projects, prioritize effectively, and work independently in a fast-paced environment
  • Ability to independently scope, executive, and deliver analytical work with minimal guidance
  • Strong written and verbal communication skills, including the ability to translate data into clear narratives for non-technical audiences
  • Experience presenting data insights to stakeholders or clients
Education and Experience
  • Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, or a related field
  • 3-5 years of experience in data analysis, reporting, research, or analytics roles
  • Familiarity with recruiting analytics, labor market data, or digital marketing performance data
Travel Requirements
  • This role requires periodic travel to attend internal meetings, client engagements, and company events. Travel frequency may vary based on business needs and opportunities.
Fair Labor Standards Act Status
  • Salaried Exempt: Personnel will earn their regular salary and not be entitled to overtime pay when they work over 40 hours in a workweek.
Supervisory Responsibilities
  • This position has no supervisory responsibilities
Expected Salary Range: $57,500 - $114,000 USD
Additional Information
Appcast recognized as one of Inc Magazine's "Best Workplaces" for 2024!
  • We're the best at what we do. We're the global leader in programmatic recruitment advertising. With advanced technology, unmatched market data and a team of the industry's best recruitment marketers.
  • We have an amazing culture driven by great people. Headquartered in Lebanon, N.H. with offices in the U.S., Canada and Europe, Appcast is part of the Stepstone group. To better understand our company culture, read Our Story and check out Working at Appcast on our website.
  • We take care of our employees. We're dedicated to creating an inviting environment where individuals from diverse backgrounds can thrive and develop. We believe in providing competitive compensation and comprehensive benefits, ensuring our team can support their loved ones and one another. We enjoy fostering a sense of community through dedicated employee networks, fun gatherings, delicious food, and even welcoming furry friends into our workspace. We live our values each day including volunteering and giving back to our communities.

All your information will be kept confidential according to EEO guidelines.
Appcast is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization.
E-Verify® is a registered trademark of the U.S. Department of Homeland Security. This employer does not use E-Verify to pre-screen job applicants and will not discriminate based on national origin, citizenship, or immigration status.

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