ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Easton, MA

Overture Partners

Data Analyst/Eng

Boston, MA · On-site

$65 - $70/hr

Strong hands-on SQL programming skills, including the ability to independently write, troubleshoot, and optimize queries without depending on automated tooling. * Practical experience with data ...

Liberty Mutual Group

Principal Data Analyst

Boston, MA · On-site

$110 - $156/hr

Principal Data Solutions Analyst Salary: $110,300 - $155,800. Benefits * Annual FTO days (Flexible ... Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred.

New

Pryzm Dynamics Inc.

Federal Data Analyst

Boston, MA · On-site

$90 - $120/hr

Partner with product and engineering to translate data gaps and customer feedback into architecture ... Strong analytical writing, where you can turn a dataset into a clear, credible narrative for an ...

CarGurus

Senior Product Data Analyst, Dealer

Boston, MA · On-site

We started as a small team of developers determined to bring trust and transparency to car shopping ... Be comfortable escalating and automating your analyses using R/Python scripting. What you'll bring ...

CarGurus

Senior Product Data Analyst, Dealer

Boston, MA · On-site

We started as a small team of developers determined to bring trust and transparency to car shopping ... Be comfortable escalating and automating your analyses using R/Python scripting. What you'll bring ...

Mosaic.tech

Federal Data Analyst

Boston, MA · On-site

$90 - $130/hr

Partner with product and engineering to translate data gaps and customer feedback into architecture ... Strong analytical writing, where you can turn a dataset into a clear, credible narrative for an ...

Judge Group, Inc.

Technical Data Analyst

Boston, MA · On-site

$55 - $60/hr

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field (or equivalent experience) * 5+ years of experience in data analysis, data quality, or data ...

MARS Solutions Group

Financial Data Analyst

Boston, MA · On-site

Unlike a pure engineering role, this position requires a high degree of business knowledge. The ... Data Analysis & Cleanup: * Analyze large datasets of security and benchmark data (Equities, Fixed ...

Counsel Health

Founding Data Analyst

Boston, MA · On-site

$90 - $140/hr

Partner with Analytics Engineer to validate pipelines and metric definitions. * Turn messy datasets ... Comfort with data that's messy and real, the kind you dig into instead of flagging as someone else ...

previous page

Showing results 41-60

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

Afternoon Data Analyst R Programming information

See Easton, MA salary details

$35.6K

$86.6K

$142.4K

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

As of Sep 7, 2026, the average yearly pay for afternoon data analyst r programming in Easton, MA is $86,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $101,600.00 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 cities near Easton, MA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Easton, 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 Easton, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $86,551 per year, or $41.6 per hour.

Data Analyst/Eng

Overture Partners

Boston, MA • On-site

$65 - $70/hr

Contractor

Medical, Life, Retirement

Posted 19 days ago

Key responsibilities

  • Assess the existing data platform to identify what metadata is currently collected, documented, maintained, and available to users.

  • Document data definitions, business terminology, lineage, ownership, quality requirements, and other governance-related information across relevant datasets.

  • Perform hands-on SQL analysis to investigate data structures, validate information, identify quality concerns, and support governance and migration decisions.

Job description

** Due to client requirements, applicants must be able to work on a w2 basis
Data Governance & SQL Specialist
Job Overview
We are seeking a Data Governance & SQL Specialist to support an immediate initiative focused on strengthening enterprise data governance, improving metadata visibility, and advancing data platform modernization. This role requires a hands-on professional who combines strong SQL programming skills with practical data governance experience and can work effectively across technical and business teams. To secure an interview, candidates should demonstrate advanced SQL capability, familiarity with governance frameworks, and a strong record of intellectual curiosity, adaptability, and continuous learning.
Must Haves
  • Strong hands-on SQL programming skills, including the ability to independently write, troubleshoot, and optimize queries without depending on automated tooling.
  • Practical experience with data governance, including metadata management, data catalogs, lineage, business terminology, data quality, and sensitive-data controls.
  • Experience assessing existing data environments to determine what information is captured, how it is defined, and where governance or quality gaps exist.
  • Understanding of data stewardship and ownership models, including how business teams and centralized data functions divide accountability.
  • Ability to translate business requirements into practical data governance policies, standards, definitions, and operating procedures.
  • Working knowledge of modern data architecture, including cloud data platforms, enterprise data warehouses, and legacy-to-cloud migration concepts.
  • Strong communication and collaboration skills with the ability to work across technical teams, business stakeholders, data owners, and data stewards.
  • Demonstrated intellectual curiosity and coachability, with a genuine desire to learn new technologies, understand business processes, ask thoughtful questions, and continuously expand technical knowledge.

What the Client Needs You to Do
This role will help establish a more mature and sustainable approach to enterprise data management. You will assess the current metadata landscape, clarify data ownership, support governance operating models, and help determine whether emerging governance technology can deliver measurable value.
You will also contribute to modernization initiatives by supporting the transition of data away from legacy infrastructure. Success requires someone who can move comfortably between hands-on SQL analysis, governance discussions, technical evaluation, and stakeholder collaboration.
Key Responsibilities
  • Assess the existing data platform to identify what metadata is currently collected, documented, maintained, and available to users.
  • Document data definitions, business terminology, lineage, ownership, quality requirements, and other governance-related information across relevant datasets.
  • Establish effective working relationships with data stewards and data owners while helping clarify responsibilities for ongoing data management.
  • Support a governance council and operating model in which centralized data leadership defines policies and standards while business teams manage routine data-quality issues.
  • Evaluate a prospective data governance platform by testing capabilities against representative enterprise data and documenting its practical strengths, limitations, and potential business value.
  • Perform hands-on SQL analysis to investigate data structures, validate information, identify quality concerns, and support governance and migration decisions.
  • Contribute to data migration activities, including the movement and validation of information required to support retirement of legacy database infrastructure.
  • Collaborate with business and technical stakeholders to convert operational needs into actionable governance standards, policies, definitions, and controls.
  • Support appropriate management of sensitive information by applying knowledge of personally identifiable information, masking, classification, access, and data-quality practices.
  • Build familiarity with emerging analytics and AI use cases, including how source data enters a platform, supports predictive models, and ultimately enables automated or agent-driven business actions.

W2 employees of Overture Partners who work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), 401(k) starting on day one, a variety of voluntary benefits including life and disability insurance, and sick time if required by law in the worked-in state/locality.
#25575

Apply