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Remote Data Analyst R Programming Jobs in New York City, NY

Empassion

Senior Data Analyst (NYC Hybrid)

New York, NY · Remote

$120K - $160K/yr

... engineering, or medical economics, having delivered actionable insights from big data analytics ... Experience with statistical analysis software (Python/pandas, R, etc.) The compensation range ...

Kelly Services

Senior Master Data Analyst

New Brunswick, NJ · On-site +1

$88K - $112K/yr

At Kelly ® Science, Engineering, Technology & Telecom (SETT), we're passionate about helping you ... Senior Analyst - Data Quality and Automation (Material Master) New Brunswick, New Jersey (remote ...

MoonPay

Senior/Staff Data Analyst

New York, NY · On-site +1

$94K - $118K/yr

Remote (Europe) Relocation available: Case by case Work pattern: * Remote across Europe, with ... You'll sit within our centralised Product Data team and work closely with Product and Engineering ...

Kelly Services

Senior Data Analyst

New Brunswick, NJ · Remote

$88K - $112K/yr

Kelly Services is currently seeking a Senior Data Analyst position for one of our top clients ... This position is recruited by a remote Kelly office, not your local Kelly branch. Applicants must ...

Initio Capital

Data Strategy Analyst

New York, NY · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Wand

Product Data Analyst

New York, NY · Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

Initio Capital

Data Strategy Analyst

New York, NY · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... AI/data, business operations, recruiting, corporate development, private markets, or ...

IBX

Bioinformatician III

Piscataway, NJ · On-site +1

... Python/R/PHP/PERL, and database management. Familiarity with Array and Sequencing based high ... based programming interfaces with backend pipeline development, analyzing experimental data ...

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All JobsData Analyst R Programming JobsRemote Data Analyst R Programming JobsRemote Data Analyst R Programming Jobs in New York City, NY

Remote Data Analyst R Programming information

See New York City, NY salary details

$37.2K

$90.4K

$148.8K

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

As of Aug 13, 2026, the average yearly pay for remote data analyst r programming in New York City, NY is $90,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $106,100.00 per year, depending on experience, location, and employer.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field due to its extensive package ecosystem and open-source nature, making it a valuable skill for data analysis roles.

What are the key skills and qualifications needed to thrive as a remote data analyst specializing in R programming?

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.

Are remote data analysts in demand?

Remote data analysts, including those skilled in R programming, are in high demand due to the increasing reliance on data-driven decision making across industries. Companies seek professionals with strong analytical skills, proficiency in tools like R and SQL, and the ability to work independently in virtual environments, leading to a growing job market for remote roles.

What are the most commonly searched types of Data Analyst R Programming jobs in New York City, NY?

The most popular types of Data Analyst R Programming jobs in New York City, NY are:

What are popular job titles related to Remote Data Analyst R Programming jobs in New York City, NY?

For Remote Data Analyst R Programming jobs in New York City, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst R Programming jobs in New York City, NY look for?

The top searched job categories for Remote Data Analyst R Programming jobs in New York City, NY are:

What cities near New York City, NY are hiring for Remote Data Analyst R Programming jobs?

Cities near New York City, NY with the most Remote Data Analyst R Programming job openings:

Remote Data Analyst R Programming jobs near you

Senior Data Analyst (NYC Hybrid)

Empassion

New York, NY • Remote

$120K - $160K/yr

Full-time

Re-posted 25 days ago

Job description

Empassion is a Management Services Organization (MSO) focused on improving the quality of care and costs on an often neglected “Advanced illness/ end of life” patient population, representing 4 percent of the Medicare population but 25 percent of its costs. The impact is driven deeper by families who are left with minimal options and decreased time with their loved ones. Empassion enables increased access to tech-enabled proactive care while delivering superior outcomes for patients, their communities, the healthcare system, families, and society.
What success looks like
  • Collaborate with cross-functional teams to understand business requirements and report on data from various sources, ensuring data quality, consistency, and accuracy.
  • Calculate traditional (PMPM costs, utilization, etc.) and novel (program engagement, capitation rates, etc.)  healthcare metrics from claims and product data.
  • Help to validate regular claims and eligibility data refreshes.
  • Act as a healthcare data SME on a rapidly growing Data & Analytics team.
  • Design, develop, and maintain algorithms and data models, using SQL and dbt.
  • Create visually appealing and informative visualizations and dashboards to communicate data insights and enable data-driven decision-making to stakeholders, using Looker.
  • Create documentation and training materials for technical and non-technical users of our data products
What you will bring
  • 2+ years of experience in healthcare analytics, analytics engineering, or medical economics, having delivered actionable insights from big data analytics environments to Clinical, Operations, or Finance teams
  • Deep familiarity with healthcare claims and eligibility data
  • Strong SQL skills
  • Excellent communication abilities around highly technical data topics and the ability to work with a diverse set of technical and non-technical audiences (peers, engineers, operations, external customers)
  • Proficiency with BI/reporting tools (Looker, Tableau, etc.)
  • Excitement about working in a fast-moving startup environment
  • A bias for action and enthusiasm for fast iteration
 
Nice to have:
  • Proficiency with dbt and templated SQL
  • Familiarity with clinical healthcare data sources and standards (ADT, EHR, Labs, FHIR, USCDI, etc.)
  • Experience with statistical analysis software (Python/pandas, R, etc.)
The compensation range represents total earnings, including both base salary and target bonus. In addition to competitive base salary and bonus opportunities, we offer equity grants for qualifying roles, comprehensive medical, dental, and vision coverage, and a 401(k) retirement plan to support your long-term financial well-being.
 
Empassions' philosophy is to provide competitive compensation that aligns with our mission, business, and employee needs while remaining financially responsible and applying it fairly, equitably, consistently, and transparently. We are a tech-enabled remote healthcare company. We value the impact and significance of all team functions and roles equally, regardless of where you live. 
We plan to update our approach, data, and practices to ensure that we align with the market at year-end 2025. 
 
This strategy ensures that our employees are paid fairly in the market for their skills, experience, and performance. We use current data to draft compensation numbers and will update the data yearly. Performance is a highly valued and meaningful driver of employee compensation within Empassion's market position. Our performance-enhanced compensation philosophy rewards employees who consistently meet and exceed performance expectations through bonus incentives at all levels.
 
We pay through consistent and compliant practices.
We have team-oriented goals and recognize performance against those goals through compensation.
Everyone is an owner and is expected to add value and contribute; when Empassion wins, we all win.
We are designed to be fair and equitable and conduct a pay equity audit annually to ensure fair and equitable compensation level by level, job family by job family.
Ready to Make a Difference?
 
If you’re driven by data, healthcare, and impact, apply and let’s talk!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.