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Remote Data Analyst R Programming Jobs in Massachusetts

Senior Data Engineer

Boston, MA · On-site +1

$162.55K - $242.35K/yr

R. 656.10, you are hereby notified that an application for Alien Employment Certification will be ... Collaborate with analysts and stakeholders to understand business requirements and deliver robust ...

Data & AI Engineer (Remote)

Salem, MA · Remote

$125.10K - $150.20K/yr

We're seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You'll transform ...

PL Ops - Data Engineer (Worcester or Remote)

Worcester, MA · Remote

$114.20K - $137.20K/yr

This role builds and improves ETL workflows that populate SQL tables used by analysts to create ... Familiarity with prompt-based programming and tools (GitHub CoPilot) This job posting provides ...

PL Ops - Data Engineer (Worcester or Remote)

Worcester, MA · Remote

$114.20K - $137.20K/yr

This role builds and improves ETL workflows that populate SQL tables used by analysts to create ... Familiarity with prompt-based programming and tools (GitHub CoPilot) This job posting provides ...

Senior Data Modeler I

Boston, MA · On-site +1

$90K - $130K/yr

... engineers to develop and maintain clinical data models. * Translate customer needs and product ... Experience with real world data analysis in Python or R. * Participation in professional ...

Build analytical infrastructure, including reusable code, templates, and workflows that improve ... Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare ...

New

Data Engineer II

Boston, MA · On-site +1

$124.40K - $149.40K/yr

This position will be affiliated with our Cambridge, MA office but is open to remote employment ... Experience with data analysis software (Jupyter Notebooks, R, etc.) and data visualization tools ...

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Remote Data Analyst R Programming information

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 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 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 are the most commonly searched types of Data Analyst R Programming jobs in Massachusetts? The most popular types of Data Analyst R Programming jobs in Massachusetts are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Massachusetts? For Remote Data Analyst R Programming jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Massachusetts look for? The top searched job categories for Remote Data Analyst R Programming jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Data Analyst R Programming jobs? Cities in Massachusetts with the most Remote Data Analyst R Programming job openings:
Remote equity research analyst - ai trainer ($50-$60 per hour)

Remote equity research analyst - ai trainer ($50-$60 per hour)

Data Annotation

Everett, MA • Remote

$50 - $60/hr

Full-time, Part-time, Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Data Annotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you're looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We're growing a team of finance experts, and as the team grows, so will your opportunities.

In this role, you might: Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn't. Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline.

A Master's or Ph D (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: Give AI chatbots diverse and complex problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or completed Masters and/or Ph D is is preferred but not required Note: Payment is made via Pay Pal.

We will never ask for any money from you. Pay Pal will handle any currency conversions from USD. This is an independent contract position.