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Afternoon Data Analyst R Programming Jobs in Cambridge, MA

Busek

Data Analyst

Natick, MA

This role will work closely with Research and Development, Engineering, Test Operations, and ... using python, MATLAB, R, Julia, SQL, or other data analysis tools. • Ability to work ...

Busek Co Inc

Data Analyst

Natick, MA · On-site

This role will work closely with Research and Development, Engineering, Test Operations, and ... using python, MATLAB, R, Julia, SQL, or other data analysis tools. • Ability to work ...

Busek

Data Analyst

Natick, MA · On-site

This role will work closely with Research and Development, Engineering, Test Operations, and ... Experience analyzing large datasets using python, MATLAB, R, Julia, SQL, or other data analysis ...

Cni

Data Analyst III

Natick, MA

$95K - $120K/yr

... Engineering, Mission Optimization, Technology and Transportation) for the federal government and ... Minimum 5 years of hands-on experience coding inStata,R, orSASat an advanced or expert level ...

MSD Malaysia

Associate Director, Data Science

Boston, MA · On-site

$160 - $251/hr

Cancer Biology, Computational Biology, Data Analysis, Data Mining, Data Science, Genomic Data Analysis, Immuno-Oncology, MATLAB, Multimodal Analysis, Python (Programming Language), R Programming ...

LinQ Global

Safety Data Analyst

Boston, MA

Job Title: Data Analyst Location: Boston, MA 02110 Type: 6-Month Contract Job Summary We are ... Practical experience using programming languages (SQL, Python, or R) for data extraction ...

New

CYNET SYSTEMS

Safety Data Analyst

Boston, MA · On-site

$36 - $41/hr

Preferred knowledge and experience with programming languages (SQL, R, and/or Python) and their use for performing data and statistical analysis. Skills: * Quantitative analysis. * Statistical ...

Busek

Data Analyst

Natick, MA · On-site

$70 - $90/hr

Analyze data generated from engineering testing, production, and manufacturing activities to ... identify trends, anomalies, and opportunities for improvement. * Develop reports, dashboards, and ...

Digital Links Inc

Data Analyst

Canton, MA · Remote

Data Analyst (Health care Domain) Location: Canton, MA - 100% Remote Position Overview Hiring for ... Support ETL processes, data integrations, and data-engineering initiatives. * Create technical ...

Ra

Data Analyst

Boston, MA

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are an expertise with R, SAS, SPSS. * You have worked in Healthcare. * You are amazing in using ...

K&A Engineering, Inc.

Data Analyst

Westwood, MA · Hybrid

$80K - $92K/yr

We provide comprehensive consulting, engineering and design, program and project management ... Support data analytics, reporting automation, and performance monitoring initiatives to enhance ...

New

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 · 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 ...

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

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 Aug 29, 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 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 Cambridge, MA?

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

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

Data Analytics & Reporting Analyst - Data Engineering Team

Boston, MA • On-site

Jobtailor
See more jobs at Jobtailorexternal

$80 - $110/hr

Other

Posted 3 days ago

New

Job description

  • Partner with Coverage Analysts, Investment Strategy & Research and Multi-Manager Solutions professionals to understand analytical needs and translate them into data solutions, models and reporting
  • Participate in research discussions and project planning aligned with investment oversight, research, portfolio construction and manager selection priorities
  • Source, validate and maintain investment data across platforms and databases
  • Build, maintain and enhance quantitative models, analytical tools and performance attribution systems
  • Support backtesting, scenario analysis and factor-based research
  • Automate recurring analytical and reporting workflows
  • Deliver performance reports, risk metrics and strategy dashboards
  • Design and maintain dashboards and data visualisations for investment professionals
  • Apply model governance practices, including documentation, version control and validation protocols
  • Evaluate new technologies and methodologies, including artificial intelligence and machine learning
  • Support product development and market research through data analysis and quantitative modelling
  • Collaborate with Enterprise Technology, Information Technology and Investment Risk Management teams on technology enhancements, platform development and analytical needs
  • Coordinate with colleagues across Boston, New York, London and India
Requirements
  • 3-7 years of experience in data analytics, quantitative development or reporting within investment management or financial services
  • Strong knowledge of investment data, portfolio analytics, performance attribution and risk
  • Bachelor's or Master's degree in mathematics, statistics, computer science, data science or a related quantitative field
  • Advanced proficiency in Python, R and Structured Query Language (SQL)
  • Experience using database platforms
  • Strong communication skills, with the ability to explain complex concepts clearly to technical and non-technical audiences
  • Ability to collaborate across functions and locations
  • Ability to manage multiple priorities and deliver high-quality work to deadlines
  • Initiative, intellectual curiosity and a practical problem-solving mindset
  • Valid U.S. work authorization that does not now or in the future require visa sponsorship
  • Professional certification such as Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) is preferred
  • Experience with cloud platforms such as Amazon Web Services or Microsoft Azure, big data technologies or business intelligence tools is preferred
  • Experience with investment data platforms such as Bloomberg, FactSet, Morningstar, eVestment or Aladdin is preferred
  • Background in investment consulting, multi-manager investing or investment operations is preferred
Core Competencies

Demonstrates expertise in data analytics and quantitative modeling within investment management, utilizing advanced skills in Python, R, and SQL to deliver actionable insights and performance reports. Strong collaboration and communication abilities facilitate effective partnerships across diverse teams and locations.

Highest-signal resume keywords
  • Data Analytics
  • Quantitative Development
  • Performance Attribution
  • Python Programming
  • Investment Data Platforms
ATS Optimization KeywordsHard Skills
  • Data Analytics
  • Quantitative Development
  • Performance Attribution
  • Python Programming
  • R Programming
  • Structured Query Language (SQL)
  • Data Validation
  • Model Governance
  • Backtesting
  • Scenario Analysis
Soft Skills
  • Strong Communication Skills
  • Collaboration
  • Problem-Solving Mindset
  • Intellectual Curiosity
  • Ability to Manage Multiple Priorities
Certifications & Qualifications
  • Chartered Financial Analyst (CFA)
  • Financial Risk Manager (FRM)
Industry Keywords
  • Investment Management
  • Financial Services
  • Portfolio Analytics
  • Investment Consulting
  • Multi-Manager Investing
  • Investment Operations
  • Risk Metrics
  • Data Solutions
  • Performance Reports
  • Market Research
Tools & Technologies
  • Amazon Web Services
  • Microsoft Azure
  • Bloomberg
  • FactSet
  • Morningstar
  • EVestment
  • Aladdin
  • Business Intelligence Tools
  • Big Data Technologies
  • Analytical Tools
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