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Afternoon Data Analyst R Programming Jobs in Southbridge, MA

Waters Corporation

BI Analyst II

Milford, MA

Work with enterprise data platforms and data engineering teams to support reporting needs ... Experience with Python, R, or other analytical programming languages. * Experience working within ...

Waters Corporation

BI Analyst II

Milford, MA

Work with enterprise data platforms and data engineering teams to support reporting needs ... Experience with Python, R, or other analytical programming languages. * Experience working within ...

Waters Corporation

BI Analyst II

Milford, MA · On-site

Work with enterprise data platforms and data engineering teams to support reporting needs ... Experience with Python, R, or other analytical programming languages. * Experience working within ...

TalentBurst, Inc.

Azure Data Architect

Worcester, MA

$63.50 - $81.75/hr

Provide technical coaching and mentoring to data engineers, data analysts, and junior architects; promote modeling and integration best practices. Support project planning, estimation, and delivery ...

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

Afternoon Data Analyst R Programming information

See Southbridge, MA salary details

$35.2K

$85.6K

$140.9K

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

As of Jul 13, 2026, the average yearly pay for afternoon data analyst r programming in Southbridge, MA is $85,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $100,500.00 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Southbridge, MA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Southbridge, MA are:
What cities near Southbridge, MA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Southbridge, 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 Southbridge, MA as of July 2026, with employment types broken down into 1% As Needed, 54% Full Time, 37% Part Time, 1% Temporary, 2% Contract, and 5% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $85,617 per year, or $41.2 per hour.
Associate Data Engineer / Data Engineer II / Senior Data Engineer (REMOTE)

Associate Data Engineer / Data Engineer II / Senior Data Engineer (REMOTE)

The Hanover Insurance Group, Inc.

Worcester, MA • On-site, Remote

$60K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Hanover Insurance rating

8.3

Company rating: 8.3 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

111th of 281 rated insurance

Job description

For more than 170 years, The Hanover has been committed to delivering on our promises and being there when it matters the most. We live our values every day, demonstrating we CARE through our values, Sustainability initiatives and inclusive corporate culture.
Our Enterprise Data & Analytics, Claims Analytics, and Technology teams are growing-and we're looking for Data Engineers at multiple levels to help power the future of data at The Hanover.
POSITIONS OVERVIEW:
In these roles, you will play a key part in designing and delivering scalable, secure, and high-performing data solutions that enable analytics, reporting, and strategic decision-making across the organization. You'll work hands-on with modern data platforms and collaborate with cross-functional partners to transform complex data into actionable insights.
Whether you're early in your career building foundational skills or an experienced engineer leading enterprise-scale initiatives, you'll contribute to a data-driven culture by developing reliable pipelines, advancing data quality and governance, and continuously improving our cloud-based data ecosystem.
These are full-time, exempt roles.
POSITIONS SUMMARY:
Depending on your level, you'll:
  • Design, build, and optimize data pipelines and ETL workflows
  • Develop scalable data models, data structures, and data integrations
  • Work with modern cloud platforms including Azure Synapse, Data Factory, Data Lake, and Databricks
  • Ensure data quality, governance, security, and compliance
  • Partner with business stakeholders, analysts, and data scientists
  • Contribute to or lead complex, cross-functional data initiatives
  • Improve platform reliability through monitoring, validation, and automation
  • Create clear documentation, runbooks, and data lineage
  • Mentor junior engineers (Senior-level roles)

Technology Stack includes:
  • Azure Data Services (Synapse, Data Factory, ADLS)
  • Databricks, Delta Tables, Spark / PySpark
  • SQL / T-SQL, Python (plus Java/Scala in some teams)
  • Power BI and analytics tools
  • CI/CD via GitHub / Azure DevOps

Associate Data Engineer (0-2 years)
  • Build foundational skills in ETL, cloud data platforms, and data architecture
  • Work alongside experienced engineers to deliver scalable solutions
  • Ideal for candidates with strong SQL/Python fundamentals and a passion for learning

Data Engineer II (up to 5+ years)
  • Own development of pipelines, models, and datasets
  • Drive improvements in data quality, governance, and performance
  • Work independently across multiple projects with business impact

Senior Data Engineer (5+ years)
  • Lead complex data initiatives and architectural decisions
  • Design enterprise-scale data solutions in Azure
  • Mentor engineers and help establish best practices
  • Drive innovation in reliability, scalability, and cost efficiency

WHAT YOU NEED TO APPLY:
  • Degree in Data Science, Computer Science, or a related field
  • Must be eligible to work in the US without requiring any sponsorship, now or in the future (Law Permanent Residence or US Citizen
  • Experience with data engineering, ETL/ELT, and data modeling
  • Proficiency in SQL and Python (advanced at senior levels)
  • Strong problem-solving, communication, and collaboration skills
  • Experience with cloud data platforms (Azure preferred)
  • Passion for building high-quality, reliable data solutions

BONUS POINTS FOR:
  • Azure certifications (DP-203, DP-700)
  • Databricks / Data Lake experience
  • Power BI or analytics experience
  • Insurance or claims data knowledge

CAREER DEVELOPMENT:
It's not just a job, it's a career, and we are here to support you every step of the way. We want you to be successful and fulfilled. Through on-the-job experiences, personalized coaching and our robust learning and development programs, we encourage you - at every level - to grow and develop.
BENEFITS:
We offer comprehensive benefits to help you be healthy, build financial security, and balance work and home life. At The Hanover, you'll enjoy what you do and have the support you need to succeed.
Benefits include:
  • Medical, dental, vision, life, and disability insurance
  • 401K with a company match
  • Tuition reimbursement
  • PTO
  • Company paid holidays
  • Flexible work arrangements
  • Cultural Awareness Day in support of IDE
  • On-site medical/wellness center (Worcester only)
  • Click here for the full list of Benefits

EEO statement:
The Hanover values diversity in the workplace and among our customers. The company provides equal opportunity for employment and promotion to all qualified employees and applicants on the basis of experience, training, education, and ability to do the available work without regard to race, religion, color, age, sex/gender, sexual orientation, national origin, gender identity, disability, marital status, veteran status, genetic information, ancestry or any other status protected by law.
Furthermore, The Hanover Insurance Group is committed to providing an equal opportunity workplace that is free of discrimination and harassment based on national origin, race, color, religion, gender, ancestry, age, sexual orientation, gender identity, disability, marital status, veteran status, genetic information or any other status protected by law."
As an equal opportunity employer, Hanover does not discriminate against qualified individuals with disabilities. Individuals with disabilities who wish to request a reasonable accommodation to participate in the job application or interview process, or to perform essential job functions, should contact us at:HRServices@hanover.com and include the link of the job posting in which you are interested.
Privacy Policy:
To view our privacy policy and online privacy statement, click here.
Applicants who are California residents: To see the types of information we may collect from applicants and employees and how we use it, please click here
Compensation:
The target hiring range for this role may vary based on geographic location and other factors, including merit or performance, demonstrated proficiency, skills for the role, education, travel requirements, and experience. Additional compensation may include an annual bonus (which could take the form of a general bonus, sales incentive, or short-term incentive), long-term incentive or spot recognition awards. The posted range reflects our ability to hire at different position titles and levels depending on background and experience.

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