1

Afternoon Data Analyst R Programming Jobs in Worcester, MA

Write SQL queries for data extraction, basic reporting, and troubleshooting * Support basic reporting and data requests, bridging the gap between the Data Analyst and Software Developer II roles

Write SQL queries for data extraction, basic reporting, and troubleshooting * Support basic reporting and data requests, bridging the gap between the Data Analyst and Software Developer II roles

Write SQL queries for data extraction, basic reporting, and troubleshooting * Support basic reporting and data requests, bridging the gap between the Data Analyst and Software Developer II roles

Write SQL queries for data extraction, basic reporting, and troubleshooting * Support basic reporting and data requests, bridging the gap between the Data Analyst and Software Developer II roles

Analyst, Power Markets Modeler

Newton, MA · Hybrid

$90K - $110K/yr

  • Medical

  • Retirement

  • PTO

Bachelor's degree in engineering, mathematics, or another quantitative field. * Strong data analysis skills with hands-on experience using Python, R, or similar languages. * Foundational knowledge of ...

... data analysis procedures with 2 years of programming experience in R and SAS and/or Stata. • 2+ years of experience with SQL database queries and programming with demonstrable skills. • ...

Showing results 21-40

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:

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.

Software Developer I (Analyst)

Covenir

Worcester, MA • On-site, Remote

Full-time

Posted 25 days ago


Job description

Job Summary:

Covenir is a BPO partner to insurance carriers - and increasingly, a technology company that happens to serve them. The Platform is how that shows up day to day: modules spanning Print, Call Center, Virtual Mailroom, and Premium & Lockbox, built with an AI-assisted, 80/20 development model where AI handles the first draft and people handle the judgment. Software Developer I (Analyst) is an entry-level, hybrid seat on that team - combining foundational development work with the data and reporting responsibilities of an analyst. It's designed as a growth path: the skills you build here lead toward either Software Developer II or Data Analyst, and the R&D Manager will route your work across both as business needs evolve.

Job Description:

How Covenir's Values Show Up in This Role

  • Committed to WOW our Customers: Even small fixes and reports reach real people - Operations, carriers, teammates. You check your work like it's going to someone who's counting on it.
  • Great Just Isn't Good Enough: You don't stop at "it runs." You look at what you shipped and ask if there's a cleaner, faster, or more AI-assisted way you could have done it.
  • One Team, One Goal: You ask for help early and offer it just as fast - senior developers and the Data Analyst are your teammates, not just people to escalate to.
  • Passion for Excellence: You take pride in work that's genuinely yours, even at entry level - clean code, clear reports, and documentation someone else could actually follow.

What You'll Do

  • Build and fix small-to-medium features on The Platform in JavaScript/Node.js, C#, or an equivalent language, with guidance from senior developers
  • Write SQL queries for data extraction, basic reporting, and troubleshooting
  • Support basic reporting and data requests, bridging the gap between the Data Analyst and Software Developer II roles
  • Use Git/GitHub for version control on assigned work
  • Apply AI-assisted development and analysis tools as part of Covenir's 80/20 model - AI drafts, you refine and verify
  • Document your work clearly enough that a senior developer can review it without a walkthrough
  • Follow Agile sprint assignments, focusing on the most critical projects as set by the R&D Manager

Requirements

  • 0-2 years of software development experience, or equivalent coursework/project experience, with JavaScript/Node.js, C#, or a similar modern language
  • Basic working knowledge of SQL for data extraction and reporting
  • Working knowledge of Azure cloud services (Container Apps, Blob Storage) as used on The Platform
  • Basic familiarity with Git/GitHub or another version control system
  • Basic understanding of authentication and access frameworks (Auth0, two-factor authentication, role-based access control)
  • Fundamental knowledge of insurance BPO business processes across Print, Call Center, Virtual Mailroom, and Premium & Lockbox
  • Fundamental knowledge of The Platform's architecture, its core modules, and the AI/API sandbox, or a fast willingness to learn them during onboarding
  • Comfort using AI-assisted development or analysis tools, or willingness to learn quickly
  • Ability to create clear, concise documentation of assigned work, with review from senior team members
  • Completes structured onboarding across Platform modules, plus data security and confidentiality training for handling customer data
  • Associate's or Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
  • Performs other duties as assigned by the R&D Manager in support of Covenir's broader business needs

What an A Player Looks Like

  • Coachable by default. A players take feedback from senior developers without getting defensive, and you can see the change in their next pull request.
  • Comfortable saying "I don't know yet". Entry-level doesn't mean guessing. A players escalate to senior developers or the Data Analyst instead of quietly shipping something they're not sure about.
  • Curious across both disciplines. This role bridges development and analysis. A players lean into both, instead of quietly avoiding the half they like less.
  • Reliable on the basics. Clean commits, clear status updates, work that shows up on time. The fundamentals matter more here than heroics.
  • Growing on purpose. A players treat this as a launchpad, actively building toward Developer II or Data Analyst rather than coasting at entry level.

Is This Role for You?

Strong fit

  • New to professional development, with foundational
  • knowledge of JavaScript/Node.js, C#, or SQL
  • Genuinely wants to grow into Software Developer II or
  • Data Analyst, not just "a coding job"
  • Comfortable asking questions and taking direction
  • from senior developers
  • Interested in both hands-on development and
  • data/reporting work

Skip this role if

  • You want to work fully independently with no oversight
  • You're only interested in development and have no interest in data or reporting work
  • You're not open to feedback or code review
  • You need a narrowly defined, single-lane role rather than a hybrid one

    Worker Type:

    Number of Openings:

    1