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Afternoon Data Analyst R Programming Jobs in Canton, MA

CarGurus

Senior Product Data Analyst, Dealer

Boston, MA · On-site

Our Product Data Analytics org as a whole supports our Product and Engineering teams, providing the ... Be comfortable escalating and automating your analyses using R/Python scripting. What you'll bring ...

Tufts University

Data Analyst - Admissions

Medford, MA · On-site

$61K - $91K/yr

... of Engineering, and the School of the Museum of Fine Arts at Tufts. Tufts Admissions is charged ... Experience with statistical software, such as R, State, SPSS, or other tools * Demonstrated project ...

Apex Systems

Technical Data Analyst

Boston, MA · On-site

$62 - $65/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 ...

New

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 ...

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 ...

DeepHealth

Clinical Data Analyst

Somerville, MA · On-site +1

$94 - $128/hr

... programming • Strong attention to detail, documentation and communication skills • Understanding of statistical methods and their application • Experience working with real-world healthcare ...

Constant Contact

Senior Data Analyst

Waltham, MA

$92K - $117K/yr

Work alongside cross functional teams to lead data initiatives that bridge Product, Engineering ... Architecting Analytical Frameworks: Design and standardize how we evaluate product growth and user ...

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

Afternoon Data Analyst R Programming information

See Canton, MA salary details

$36K

$87.4K

$143.8K

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

As of Aug 12, 2026, the average yearly pay for afternoon data analyst r programming in Canton, MA is $87,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 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 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?

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 Canton, MA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Canton, MA are:
What cities near Canton, MA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Canton, 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 Canton, MA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $87,384 per year, or $42 per hour.

Senior Product Data Analyst, Dealer

CarGurus

Boston, MA • On-site

Full-time

Posted 11 days ago

Job description

Role overview

We are looking for a Senior Product Data Analyst to join our Dealer team which tackles a complex data environment, building out core assets, running experiments, and many more unstructured analytics tasks to support the growth of the dealer product suite.

Our Product Data Analytics org as a whole supports our Product and Engineering teams, providing the final word on all analytics for CarGurus' user and dealer experiences. We are looking for thoughtful, curious, internally driven candidates who can dive into complex data and draw novel, insightful conclusions.

What you'll do

  • Conduct exploratory empirical analyses using SQL and Python that bridge disparate data sources (e.g. website usage, subscription records, inventory volumes, etc.). to quantify product performance, user behavior, and/or market trends. Distill unstructured "big data" around product performance, user behavior and/or market insights into actionable outcomes.
  • Creatively compress sweeping, high-level exploratory requests into specific calculations that address your stakeholders' underlying needs. Relentlessly dig into the data, taking initiative to consult with other individuals and teams as you judge necessary. Go beyond the letter of the initial assignment, to hammer out any anomalies or self-direct your inquiry into other relevant issues.
  • Advocate and participate in brainstorming/planning sessions for specific, data-driven product innovations that help further high-level company strategy, primarily in partnership with the Product/Engineering teams.
  • Avoid passivity in the face of flawed proposals; tactfully and persuasively push back against potential missteps.
  • Craft, audit and improve metrics that define business success, condensing abstract or loosely-defined concepts down to concrete calculations.
  • Experiment with new kinds of visualizations, build intuitive dashboards and other visual monitoring tools to guide daily decision-making by senior stakeholders and the company at large. Re-work underlying code to appropriately structure visualization inputs.
  • Communicate and present complex quantitative findings in easily digestible terms to company leadership, homing in on key takeaways. Concretely and informatively respond to any probing, on-the-spot follow-up questions from senior decision-makers.
  • Conceive of new data assets and build automated transformations (via DBT, LookML, etc.) to bring them to fruition.
  • Partner with Data Engineering teams to advance core data modeling/architecture (e.g. user clickstream logging), by optimizing, integrating, and distilling large raw datasets and metadata.
  • Draw upon prior experience with expansive, unrefined datasets to fix modeling bottlenecks in quick, scalable, outside-of-the-box ways.
  • Use Claude Code and agentic workflows to automate, accelerate, and escalate the sophistication of your analyses.
  • Be comfortable escalating and automating your analyses using R/Python scripting.

What you'll bring

  • 4+ years of experience in analytics, ideally involving complex modeling, quantitative analysis and applied statistics 2+ years of experience communicating the high-impact results of analyses to leadership teams to influence strategy
  • Hands-on experience leveraging GenAI  to optimize workflows and agentic coding platforms like Claude Code (preferred) or Cursor
  • Expert fluency in SQL. A strong background with either R or Python is highly desirable.
  • Second-nature understanding of core statistical concepts (regression, significance testing, omitted variable bias, independence/dependence, etc.)
  • Willingness to step outside your role and independently come up with novel ideas for the business.
  • Willingness to challenge others' ideas and advocate for your own.
  • Strong project planning skills, with experience building roadmaps, estimating required resources, and flagging inter-dependencies with other teams/projects.
  • Preferred tools/programs: Snowflake, Snowplow, dbt, Claude Code or Cursor, Looker/Omni, Jira, Salesforce, Google/MS suite

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