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Afternoon Data Analyst R Programming Jobs in Worcester, MA

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 ...

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 ...

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 ...

Randstad Digital

Data Analyst

Smithfield, RI · On-site

$32 - $33/hr

Analyzing the client source data to identify issues, potential causes, and suggested remediation ... Informatica), Snaplogic is a plus Should have proven general experience programming languages and ...

Varsity Tutors

Data Science Tutor

Waltham, MA · Remote

$18 - $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

Newton, MA · Remote

$18 - $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 ...

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 ...

Dell, Inc.

Senior Analyst, Data Engineering

Hopkinton, MA

$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 ...

Dell

Senior Analyst, Data Engineering

Hopkinton, MA

$94K - $119K/yr

Sr. Analyst, Data EngineeringData Engineering is the practice of designing, building, and maintaining systems that collect, store, process, govern, and analyze large volumes of data required by ...

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

Afternoon Data Analyst R Programming information

See Worcester, MA salary details

$33.9K

$82.5K

$135.7K

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 Worcester, MA is $82,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,800.00 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 the most commonly searched types of Data Analyst R Programming jobs in Worcester, MA?

The most popular types of Data Analyst R Programming jobs in Worcester, MA are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Worcester, MA?

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

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

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

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

Cities near Worcester, 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 Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $82,460 per year, or $39.6 per hour.

Data Analyst

Busek

Natick, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

Job Title: Data AnalystAbout Busek

Busek Co. Inc. is a pioneer in advanced space propulsion and technology. Located in Natick, MA, we develop innovative solutions that enable the future of space exploration. Our products and technologies include electric propulsion systems, chemical propulsion, and advanced material development. Join our team to work on cutting-edge projects that shape the space industry.

Position Overview

Busek is seeking a Data Analyst to support the analysis of test and production data for advanced space propulsion systems. This role will work closely with Research and Development, Engineering, Test Operations, and Manufacturing to transform large volumes of technical data into meaningful insights that improve product performance, manufacturing processes, and production readiness.
The ideal candidate is analytical, curious, and self-motivated, with the ability to work independently and quickly learn new systems and technologies. While experience with electric propulsion is beneficial, candidates with strong data analysis skills and experience supporting engineering or manufacturing organizations are encouraged to apply.

Key Responsibilities• Analyze data generated from research and development, production, and manufacturing activities to identify trends, anomalies, and opportunities for improvement.
• Partner with Research and Development, Engineering, Manufacturing, and Test Operations to support product development and production initiatives.
• Support root cause investigations through data analysis and statistical evaluation.
• Validate data quality and ensure the integrity of engineering and manufacturing datasets.
• Develop reports, dashboards, and visualizations that communicate technical findings to engineering and leadership teams.
• Assist in developing automated reporting and data analysis tools to improve efficiency.
• Document analysis methods, assumptions, and results to support engineering decisions.
• Present findings and recommendations clearly to technical and non-technical audiences.
• Support continuous improvement initiatives by identifying opportunities to improve data collection, reporting, and decision-making.Qualifications         • Bachelor's degree in Engineering, Data Analytics, Mathematics, Computer Science, Physics, Statistics, or a related technical field.
• Strong analytical and problem-solving skills with the ability to interpret complex technical data.
• Experience analyzing large datasets using python, MATLAB, R, Julia, SQL, or other data analysis tools.
• Ability to work independently, manage multiple priorities, and learn new technologies with minimal supervision.
• Strong written and verbal communication skills.
• Attention to detail and a commitment to producing accurate, actionable analysis.Preferred Skills• Experience supporting engineering, manufacturing, aerospace, or other technical organizations.
• Familiarity with statistical analysis and data visualization techniques including uncertainty quantification methods.
• Experience working with production, manufacturing, or test data.
• Knowledge of electric propulsion, aerospace systems, or other advanced engineering technologies is a plus but not required.Benefits
  • Health, dental, and vision insurance.
  • Paid time off and holidays.
  • Retirement savings plan (401k).
  • Professional development opportunities.
  • Collaborative and innovative work environment.
What We Offer
  • Opportunity to work on cutting-edge space propulsion technology.
  • Exposure to advanced engineering, testing, and manufacturing operations.
  • Opportunity to influence product development and production decisions through meaningful data analysis.
  • Collaborative environment working alongside engineers developing next-generation space systems.
U.S. Citizenship Requirement

Due to the nature of work performed under U.S. government contracts and applicable security and contractual requirements, this position is limited to U.S. citizens.

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