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Afternoon Data Analyst R Programming Jobs in Canton, MA

Sr Data Analyst

Boston, MA · On-site

$93K - $117K/yr

Vantage Point Consulting Inc. is seeking highly skilled Data Engineers/Analysts to support the Discovery Phase of a large-scale legacy system modernization project. The role involves analyzing ...

Analyze workforce data to identify trends, drivers, risks, and opportunities across the employee lifecycle. * Develop predictive and advanced analytics to support workforce planning, retention ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

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 Sep 3, 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 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 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:

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.

Data, Analytics & Reporting Analyst - Data Engineering Team

Ameriprise Financial

Boston, MA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 14 days ago


Ameriprise rating

7.7

Company rating: 7.7 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

104th of 152 rated financial services


Job description

About Our Company
Working at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses.
We're intentionally built to help you succeed. Our reach is expansive with a Columbia Threadneedle Investments global team of 2,300 people working together. Our capability is diverse with more than 550 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Our unwavering focus on our clients and strong financial foundation connects each of our enterprise businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities.
Job Description
Join our Data Engineering team and help shape the data, analytics and reporting capabilities that support investment oversight, research, portfolio construction and manager selection.
You will partner with Coverage Analysts, Investment Strategy & Research and Multi-Manager Solutions professionals to translate complex business needs into high-quality data solutions, quantitative models and actionable reporting. This hands-on role offers meaningful ownership, cross-functional influence and the opportunity to strengthen data quality, automate critical workflows and introduce innovative analytical capabilities.
You will contribute directly to how our investment teams generate insights and make informed decisions while continuing to grow your technical and investment expertise.
Responsibilities
  • Partner closely with Coverage Analysts, Investment Strategy & Research and Multi-Manager Solutions professionals to understand analytical needs and translate them into effective data solutions, models and reporting.
  • Participate in research discussions and project planning, aligning data and analytical capabilities with investment oversight, research, portfolio construction and manager selection priorities.
  • Source, validate and maintain investment data across platforms and databases, ensuring quality, consistency, accessibility and reliable data feeds for investment teams and broader stakeholders.
  • Build, maintain and enhance quantitative models, analytical tools and performance attribution systems, including solutions that support backtesting, scenario analysis and factor-based research.
  • Automate recurring analytical and reporting workflows to improve efficiency, accuracy and timely delivery of performance reports, risk metrics and strategy dashboards.
  • Design and maintain dashboards and data visualisations that give investment professionals ready access to decision-useful information.
  • Apply sound model governance practices, including clear documentation, version control and validation protocols.
  • Drive process improvement by evaluating new technologies and methodologies, including artificial intelligence and machine learning, and support product development and market research through data analysis and quantitative modelling.
  • Collaborate with Enterprise Technology, Information Technology and Investment Risk Management teams on technology enhancements, platform development and analytical needs, while coordinating effectively with colleagues across Boston, New York, London and India.

Required Qualifications
  • 3-7 years of experience in data analytics, quantitative development or reporting within investment management or financial services, with strong knowledge of investment data, portfolio analytics, performance attribution and risk.
  • Bachelor's or Master's degree in mathematics, statistics, computer science, data science or a related quantitative field.
  • Advanced proficiency in Python, R and Structured Query Language (SQL), together with experience using database platforms.
  • Strong communication skills, with the ability to explain complex concepts clearly to technical and non-technical audiences and collaborate across functions and locations.
  • Proven ability to manage multiple priorities, deliver high-quality work to deadlines and demonstrate initiative, intellectual curiosity and a practical problem-solving mindset.

Preferred Qualifications
  • Professional certification such as Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) is preferred.
  • Experience with cloud platforms such as Amazon Web Services or Microsoft Azure, big data technologies or business intelligence tools is preferred.
  • Experience with investment data platforms such as Bloomberg, FactSet, Morningstar, eVestment or Aladdin is preferred.
  • Background in investment consulting, multi-manager investing or investment operations is preferred.

U.S. Work Authorization & Sponsorship
Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).
In-Office Collaboration
We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders - clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.
Base Pay Salary
The estimated base salary for this role is $140,000 - $170,000 per year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.
Full-Time/Part-Time
Full time
Exempt/Non-Exempt
Exempt
Job Family Group
Investment Management
Line of Business
AMINV US Asset Management
Columbia Threadneedle is a people business, and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to fostering an inclusive and performance-based culture where everyone can belong, grow, contribute and realise their potential.
Columbia Threadneedle is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.
We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.

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About Ameriprise

Sourced by ZipRecruiter

At Ameriprise Financial, we're not just in the business of helping clients with their financial goals - we also help our advisors and employees reach their true potential by embracing an inclusive and collaborative culture. We celebrate the unique qualities and reward the contributions of our talented, passionate employees. If you're motivated and want to work for a strong, ethical company that cares about you and your community, take the next step with Ameriprise Financial.

Industry

Funds, trusts and financial programs

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

1894

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