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Remote Data Analyst R Programming Jobs in Boston, MA

Jj

Manager, Data Science - Oncology

Cambridge, MA · On-site +1

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader ... Proficiency in data engineering tools such as Python, R and SQL for data processing as well as ...

Jj

Principal Data Scientist, R&D Oncology

Cambridge, MA · On-site +1

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific ... Proficiency in data engineering tools such as Python, R and SQL for data processing as well as ...

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All JobsData Analyst R Programming JobsRemote Data Analyst R Programming JobsRemote Data Analyst R Programming Jobs in Boston, MA

Remote Data Analyst R Programming information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

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

As of Jun 18, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in R Programming, and why are they important?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.
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:
What are popular job titles related to Remote Data Analyst R Programming jobs in Boston, MA? For Remote Data Analyst R Programming jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Boston, MA look for? The top searched job categories for Remote Data Analyst R Programming jobs in Boston, MA are:
Remote Data Analyst R Programming jobs near you
Infographic showing various Remote Data Analyst R Programming job openings in Boston, MA as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% Remote job distribution, with an average salary of $89,780 per year, or $43.2 per hour.

Director, Advanced Data Analytics and Insights

Fidelity Investments

Boston, MA • Remote

$161K - $194K/yr

Full-time

Posted 7 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services

Job description

Job Description:

Position Description:

Generates analytical and data insights to drive business actions using SQL, Qlik/Tableau, Python, and R. Creates complex, automated analytics solutions using Text Mining and Natural Language Processing (NLP) tools. Extracts andanalyzescomplex information from large structured and unstructured datasets using data mining and data modeling, NLP, and Machine Learning (ML). Creates and manages Elasticsearch indexes and develops queries using KQL (Kibana Query Language) and DSL (Domain Specific Language). Creates custom visualizations in Kibana and Tableau. Analyzes large volumes of structured and unstructured data in Elasticsearch.

Primary Responsibilities:

  • Cleans and manipulates large volumes of raw data for analysis by statistical software.

  • Improves data analytics and insights capabilities using Adobe analytics.

  • Formulates and applies mathematical modeling and other optimizing methods to develop and interpret information thatassistswith decision making.

  • Delivers presentations of mathematical modeling and data analysis to management and other end users.

  • Overseesdaily, weekly, and monthly reporting cycles across analytic environments.

  • Analyzes large data sets to develop new processes, perform calculations,identifyanomalies, and/orproductnew reporting capabilities.

  • Mentors junior team members.

  • Works in a fast-paced environment delivering tactical and strategic technology solutions.

  • Establishes and project management data analytics and insights projects.

  • Contributes to the estimation, planning, analysis, design, and development of projects.

  • Fosters innovative technology solutions to resolve complex business problems.

Education and Experience:

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, Information Systems Management, or a closely related field(or foreign education equivalent) and six (6)years of experience as a Director, Advanced Data Analytics and Insights (or closely related occupation) performing data analysis and writing code using SQL and Python programming languages.

Or, alternatively,Master's degree in Computer Science, Engineering, Information Technology, Information Systems, Information Systems Management, or a closely related field(or foreign education equivalent) and four (4)yearsof experience as a Director, Advanced Data Analytics and Insights (or closely related occupation) performing data analysis and writing code using SQL and Python programming languages.

Skills and Knowledge:

Candidate must alsopossess:

  • Demonstrated Expertise ("DE")generating insights for customer service strategy and customer experience touchpoints by extracting, transforming, and analyzing unstructured and semi-structured data -- text content (call/chat transcripts, social post) and customer-entered feedback (surveys and online tool interactions) -- using Natural Language Processing (NLP), LLM models/algorithms to identifying sentiment, extracting entities, text summarization, and performing text classification; and integrating data from various sources and internal data warehouses by creating standards and repeatable workflows-Elasticsearch, Snowflake, AWS and Oracle -- to process at scale.

  • DEquantifying and monitoring customer activities across channels by developing customer journeys using data preparation and visualization tools -- Power BI, Tableau, Kibana and Excel; and furnishing actionable insights that enable business decisions through 360-degree customer data mining using Cloud technologies - Elasticsearch, Snowflake, Oracle, and Amazon Web Services (AWS).

  • DEidentifying key trends and customer behaviors that influence business decisions by building hypothesis for mining digital or live channel data in AWS and Snowflake EDL, using SQL, Python, Elasticsearch and Amazon Web Services (AWS) technologies -- Athena, Glue, Sage maker, Kibana,S3,Quicksight, and API Gateway.

  • DEparsing, summarizing, and visualizing customer journeys across digital or live activities using Python, Tableau, Postman, and API methodologies; tying engagements to financial or operational transactions, using SQL and Python packages; supporting and informing client service strategies by performing statistical analysis, and data extraction, transformation, and summarization within the financial services industry-- using statistical methods (inferential statistics, hypothesis testing, and A/B testing) and data analytics software (Python, SQL, Elasticsearch).

Salary: $161,803.00- $194,000.00/year.

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Certifications:Category:Data Analytics and Insights

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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