ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Worcester, MA

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

The Data Analyst serves as a key analytical resource within the office of the COO, responsible for ... Experience with Python, R, or similar analytical programming languages. * Familiarity with ERP/CRM ...

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

The Data Analyst serves as a key analytical resource within the office of the COO, responsible for ... Experience with Python, R, or similar analytical programming languages. * Familiarity with ERP/CRM ...

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 ...

Mastech Digital

Systems/Data Analyst

Smithfield, RI · On-site

$55 - $60/hr

S. in Computer Science, Engineering, Mathematics, or equivalent experience. - 5+ years of Systems and Data Analysis experience within the IT field, financial services preferred. - Strong experience ...

Fidelity Investments

Senior Data Analyst

Smithfield, RI · On-site +1

$80K - $153K/yr

Senior Data Analyst The Role We have an outstanding technology opportunity in the Core & Common ... Data engineering skills are a plus. Being 'in the data' is a core responsibility. * You have ...

Fidelity Investments

Senior Data Analyst

Smithfield, RI · On-site

$82K - $104K/yr

We are looking for candidates with a bachelor's degree and 4-6 years of related experience in data analysis, or data engineering, or a master's degree and 3-5 years of relevant experience. The ...

Workhuman

Principal Data Analyst - Pricing

Framingham, MA · On-site

$150K - $175K/yr

Partner with Product & Engineering to inform pricing capabilities, and collaborate with cross ... Strong SQL skills and experience working with large datasets; familiarity with Python or R for ...

Varsity Tutors

Data Science Tutor

Newton, 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 ...

Varsity Tutors

Data Science Tutor

Waltham, 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 ...

next page

Showing results 1-20

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 Jun 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 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 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 June 2026, with employment types broken down into 41% Full Time, 35% Part Time, 12% Temporary, and 12% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $82,460 per year, or $39.6 per hour.
Sr Data Analyst/Data Analyst

Sr Data Analyst/Data Analyst

Methods Machine Tools Inc

Sudbury, MA

$74K - $112K/yr

Other

Posted 15 days ago

Job description

Description

Methods Machine Tools, established in 1958, is one of the largest privately held machine tool importers in North America. The company designs and implements custom machining solutions, including machine tool selection, automation integration, and turnkey automation cells. With over 300 employees, seven technology centers, and more than 45,000 machines installed across North America, Methods is committed to delivering cutting-edge manufacturing solutions from its corporate campus in Sudbury, Massachusetts.


Job Summary: 

The Data Analyst serves as a key analytical resource within the office of the COO, responsible for transforming complex data into strategic insights that drive business performance. This role leads the design, development, and maintenance of enterprise reporting, dashboards, and data models across sales, aftermarket services, and SIOP (Sales, Inventory & Operations Planning) functions. The Senior Data Analyst partners with cross-functional leadership to deliver data-driven recommendations that support revenue growth, operational efficiency, and continuous improvement initiatives.


Key Responsibilities:

  • Lead the collection, integration, and analysis of data from CRM, ERP, and other enterprise systems to support sales performance, aftermarket services, and SIOP planning cycles.
  • Design and maintain advanced dashboards and reports that track KPIs across new equipment sales, aftermarket parts and service revenue, and demand forecasting accuracy.
  • Serve as the primary analytics partner for SIOP processes, providing demand/supply data analysis, forecast variance reporting, and scenario modeling to support executive decision-making.
  • Develop and standardize aftermarket analytics, including service contract utilization, parts consumption trends, and customer lifecycle metrics.
  • Perform complex statistical analyses to identify trends, patterns, and opportunities for revenue optimization and operational improvement.
  • Ensure data integrity, governance, and consistency across all reporting platforms through rigorous validation, quality assurance, and documentation practices.
  • Collaborate with Sales, Operations, Finance, and Aftermarket leadership to translate business requirements into scalable, automated reporting solutions.
  • Lead ad hoc analytical projects and present findings and recommendations to senior management and executive stakeholders.


Required Qualifications & Skills:

  • Education: Bachelor's degree in Data Analytics, Statistics, Computer Science, Business Administration, or a related discipline (or equivalent combination of education and experience).
  • Experience: 3-7 years of progressive experience in data analysis, business intelligence, or analytics, preferably within a manufacturing, distribution, or industrial sales environment.


Technical Skills:

  • Advanced proficiency in Excel, Power BI, Tableau, or equivalent data visualization platforms.
  • Strong working knowledge of SQL for complex data extraction, transformation, and manipulation.
  • Experience with Python, R, or similar analytical programming languages.
  • Familiarity with ERP/CRM systems (e.g., Infor CSI, Salesforce, ServiceNow, SAP, or similar) and SIOP/S&OP planning tools.

Soft Skills:

  • Demonstrated ability to synthesize complex data into clear, actionable insights for both technical and non-technical audiences.
  • Strong critical thinking, problem-solving, and strategic analysis capabilities.
  • Excellent organizational skills with the ability to manage multiple priorities in a fast-paced environment.
  • Proven track record of cross-functional collaboration and stakeholder management.

Supervisory Responsibilities:

  • None (mentorship of junior analysts expected).

Travel Requirements: 

  • Minimal; occasional travel to regional facilities may be required.

Physical Requirements: 

  • Prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift up to 20 pounds at times. 


Additional Information

This job description is designed to provide an overview of basic skills, experiences and education required to perform the job and is not designed to cover or contain a comprehensive listing of all activities, duties, or responsibilities required of the employee to perform the essential functions of the job. In instances where educational degrees are required, the company will take into consideration factors such as additional experience, training, or certifications in lieu of specific educational requirements.


Methods Machine is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. 

Apply