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Afternoon Data Analyst R Programming Jobs in Boston, MA

REsurety

Senior Data Analyst - Power Markets

Boston, MA · On-site

$81K - $95K/yr

Experience using a programming language (Python, R, or SQL) to manipulate, analyze, and visualize data. * Education: Bachelor's or Graduate degree in a technical field such as Economics, Engineering ...

CarGurus

Senior Sales Data Analyst

Boston, MA · On-site

$93K - $117K/yr

We started as a small team of developers determined to bring trust and transparency to car shopping ... Role Overview CarGurus is hiring a Senior Sales Data Analyst to support our Inventory & Data pillar ...

CarGurus

Senior Sales Data Analyst

Boston, MA

$93K - $117K/yr

You'll partner closely with Sales, Product, Engineering, and Operations leaders to build the data ... Lead analytics for new product launches, tracking adoption, attach, and retention from beta through ...

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 ...

Wipro Limited

DATA ANALYST L4

Quincy, MA · On-site

$60K - $135K/yr

DATA ANALYST L4 City: North Quincy State/Province: Massachusetts Posting Start Date: 5/26/26 Wipro ... Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and ...

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

Afternoon Data Analyst R Programming information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

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

As of Jun 13, 2026, the average yearly pay for afternoon data analyst r programming in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 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 Boston, MA? The most popular types of Data Analyst R Programming jobs in Boston, MA are:
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Afternoon Data Analyst R Programming jobs near you
Senior Data Analyst - Power Markets

Senior Data Analyst - Power Markets

REsurety

Boston, MA • On-site

$81K - $95K/yr

Full-time

Posted 27 days ago

Job description

Are you looking for an engaging career in the clean energy market? Do you want to work with a team of smart, passionate people changing the future of energy both financially and environmentally? Is data science your passion? If so, let's connect!
Position Overview
The energy transition is, at its core, a data and architecture problem. Resurety is looking for a Senior Data Analyst to join our Power Markets team and contribute to the evolution of our price and carbon emission engine.
In this role, you will operate at the intersection of research, engineering and product, supporting the strategy that helps the world's largest clean energy buyers, sellers, and investors navigate a zero-carbon future. You will work alongside power market experts to increase the accuracy and commercial value of our forecasts, helping to build a scalable platform that defines how the market understands clean energy value. You will advance Resurety's mission by transforming market research into scalable, high-fidelity forecasting tools, ensuring every insight is communicated with clarity and rigor through operational excellence.
Key Responsibilities
  • Support Model Expansion: Assist in the development and testing of REsurety's fundamental and statistical power price models, helping to maintain the logic that drives our software products.
  • Navigate Market Complexity: Assist in managing the lifecycle of power market models, ensuring they stay up-to-date with shifting regulatory landscapes, evolving ISO/RTO market rules, and changing grid fundamentals.
  • Maintain Data Integrity: Support the integration of "Weather-Smart" data inputs and assumptions, ensuring our forecasts meet industry standards for accuracy through careful calibration.
  • Coordinate with Cross-Functional Teams: Work alongside research, engineering, and product teams with supervision to help transition technical research into scalable, modern modeling platforms.
  • Support Stakeholder Communication: Help prepare model outputs and visualizations for internal and external stakeholders, learning to translate complex data into clear, actionable insights.
  • Ensure Quality and Accuracy: Execute rigorous quality assurance processes and validate model results to ensure all outputs are accurate, reliable, and provide clear value to our customers.
Required Experience & Qualifications
  • 1- 4+ years of experience with power market fundamentals modeling software - e.g., PSO, PLEXOS, PROMOD, or equivalent frameworks..
  • Technical Proficiency: Experience using a programming language (Python, R, or SQL) to manipulate, analyze, and visualize data.
  • Education: Bachelor's or Graduate degree in a technical field such as Economics, Engineering, Mathematics, or Statistics.
  • Market Knowledge: A strong understanding of the functioning of one or more North American wholesale electricity markets (CAISO, NYISO, ISO-NE, PJM, SPP, MISO, ERCOT).
  • Communication: Excellent teamwork and presentation skills, with the ability to help bridge the gap between complex model outputs and commercial decision-making.
  • Work in the Boston office three days per week - We are a hybrid office - In the office on Mondays, Tuesdays, and Thursdays. Remote on Wednesdays and Fridays (unless you want to work in the Boston office on those days).
Preferred Qualifications
  • Experience with machine learning in an applied setting.
  • Experience with capacity expansion modeling.
  • Experience with fundamentals modeling, specifically in SPP, MISO, or CAISO.
  • A passion for driving the adoption of clean energy.
Compensation, Benefits and Location
  • The base compensation range for this position is $81,600 - $95,000.
  • Actual starting pay is determined by a number of factors, including relevant skills, qualifications, and experience. This range does not include annual bonus, equity-based incentives, and benefits.
  • Benefits information can be found on our About page.
  • Boston Office Location - 40 Water Street, 9th Floor, Boston, Massachusetts
About Resurety
Resurety is the only clean energy industry partner to bring together actionable market insights and groundbreaking transaction tools in one seamless ecosystem. Through our unrivaled market intelligence and portfolio management software, our expert consulting services, and the leading regulated clean energy marketplace, we deliver the infrastructure and information needed to move the entire industry - and your business - forward. Resurety's CleanTrade™ is the first and only CFTC-registered transaction platform for as-generated energy, and our CleanSight™ software simplifies complex workflows with the most sophisticated intelligence and portfolio management tools in the market. The result is increased transparency, liquidity, speed, and impact for the industry and our customers.
Working at Resurety
Our values shape our culture. We're building a team of people who live our values every day.
  • Know Our Customers: We are obsessive about helping our customers win by understanding their world, their challenges, and their goals.
  • Audacious Ambition: We approach every challenge with the confidence and the conviction to pursue big, hard goals that others won't.
  • Focused and Fast: We identify the highest priority work, execute with speed and quality, and drive momentum by succeeding or failing fast, then moving on to the next important thing.
  • Win Together: We are one unified team; we collaborate across functions and share collective ownership of our success and our failures.
  • Own It: We are accountable to ourselves, our team, and our customers. We proactively give and receive feedback and recognition to constantly improve.

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