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Self Employed Data Analyst R Programming Jobs in New York, NY

Data Analyst

Manhattan, NY · On-site

$133 - $166/hr

Promote secure, governed, accessible, and responsible use of data while improving self-service ... Experience using Python with pandas and/or R for data manipulation, exploratory analysis, or ...

Promote secure, governed, accessible, and responsible use of data while improving self-service ... Experience using Python with pandas and/or R for data manipulation, exploratory analysis, or ...

Promote secure, governed, accessible, and responsible use of data while improving self-service ... Experience using Python with pandas and/or R for data manipulation, exploratory analysis, or ...

Promote secure, governed, accessible, and responsible use of data while improving self-service ... Experience using Python with pandas and/or R for data manipulation, exploratory analysis, or ...

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

Showing results 41-60

Self Employed Data Analyst R Programming information

See New York, NY salary details

$37.2K

$90.4K

$148.8K

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

As of Sep 5, 2026, the average yearly pay for self employed data analyst r programming in New York, 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.

Are R programmers in demand?

R programmers, including self-employed data analysts skilled in R programming, are in demand due to the growing need for data analysis and statistical modeling across industries. Proficiency in R, along with skills in data visualization and machine learning, increases job opportunities in analytics, research, and consulting roles.

Can a self employed data analyst R programming be self-employed?

A self-employed data analyst skilled in R programming can work independently, offering services such as data analysis, visualization, and reporting to clients. Being self-employed requires managing your own schedule, acquiring clients, and possibly obtaining relevant certifications or a portfolio to demonstrate expertise.

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 for its extensive package ecosystem and open-source nature, making it a valuable skill for data analysis roles.

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

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

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

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

Infographic showing various Self Employed Data Analyst R Programming job openings in New York, NY as of June 2026, with employment types broken down into 18% Internship, 70% Full Time, 6% Part Time, and 6% Temporary. Highlights an 88% In-person, and 12% Hybrid job distribution, with an average salary of $90,411 per year, or $43.5 per hour.

Senior Data Analyst (SQL Expertise)

United-Hospital-Fund

Manhattan, NY • On-site

$95 - $110/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Senior Data Analyst (SQL Expertise)

New York, New York, NY, US

4 days ago Requisition ID: 1052

Salary Range: $95,000.00 To $110,000.00 Annually

Improving Health Care for Every New Yorker

United Hospital Fund (UHF) is dedicated to creating an effective and equitable healthcare system for all New Yorkers. As an independent nonprofit, we analyze public policy, unite diverse stakeholders, and support innovative programs to improve health and healthcare. Our mission includes breaking down barriers in health policy and delivery to ensure equitable health opportunities. UHF’s emerging new line of Medicaid work seeks to achieve this vision by bridging and advancing quality and equity and supporting the delivery of health-related social needs (HRSN) screening and services.

About the Role:

We are seeking a technically-driven Senior Data Analyst with expertise in SQL to architect and execute data transformations for our Medicaid initiatives. This role is not just about analyzing data—it’s about building the robust, scalable SQL infrastructure that translates complex claims and HRSN data into actionable insights. You will be responsible for turning "messy" administrative data into clean, analysis-ready datasets that drive health equity for all New Yorkers.

Key Responsibilities:
  • Advanced SQL Development: Architect complex SQL queries and stored procedures to perform high-volume data cleaning, transformation, and aggregation. You will help build and maintain the department’s primary codebase, ensuring efficiency when working with millions of records.
  • Data Pipeline & ETL Optimization: Develop automated workflows to detect and address data quality issues. You will be one of the "owners" of data readiness, ensuring that Medicaid claims and other administrative data are structured for rapid analysis.
  • Technical Data Governance: Perform code reviews and implement rigorous version control (Git) and documentation standards. You will ensure the reproducibility of results through advanced programming techniques in SQL.
  • Metric Architecture: Write sophisticated SQL code to calculate quality improvement metrics, equity outcomes, and disparities across physical and behavioral health service delivery.
  • Visualization: Collaborate with stakeholders as needed to translate backend data into front-end visualizations and narratives, bridging the gap between raw data and executive decision-making.
Required Qualifications:
  • SQL Proficiency: Minimum of 4+ years of experience writing advanced SQL (e.g., complex joins, CTEs, window functions, and query optimization) within cloud-based platforms.
  • Data Scale Experience: Proven track record of managing and transforming datasets exceeding one million records.
  • Healthcare Domain Expertise: Deep understanding of health data (Medicaid claims, provider networks, or clinical data) and the specific nuances of healthcare data quality.
  • Engineering Mindset: A passion for writing clean, modular, and reusable code. You should enjoy solving "puzzle-like" data transformation challenges.
  • Reproducibility: Professional experience with Git/GitHub and creating thorough technical documentation.
  • Communication: Ability to explain technical data architecture to non-technical policy experts.
Preferred Qualifications:
  • Education: Bachelor’s degree in Data Science, Computer Science, Health Informatics, or a related quantitative field. Additional relevant education, training, or experience, including Master’s degree in relevant field, coding bootcamps, or advanced technical certifications is preferred.
  • R Programming: Ability to create advanced (e.g., nested, higher-order) functions in R.
  • Visualization: Proficiency in Tableau or other data visualization and dashboard tools.
  • Social Determinants Knowledge: Experience working with HRSN (Health-Related Social Needs) or Census data.
  • SQL Programming sample (Please provide a sample that demonstrates your ability to join and transform complex datasets).

Salary Range:$95,000 – $110,000

Compensation and Benefits: United Hospital Fund offers a competitive salary commensurate with experience combined with generous benefits, including health, dental, voluntary vision, life, and disability insurance; a 403b retirement plan; paid time off; a commuting subsidy; collegial environment.

United Hospital Fund is an Equal Opportunity Employer committed to cultivating a diverse and inclusive workplace. Applicants receive consideration for employment without regard to race, creed, color, ethnicity, national origin, religion, sex, sexual orientation, gender identity, gender expression, age, physical or mental ability, veteran status, military obligations, citizenship, and marital status. People of color, all faiths and abilities, women, immigrants, veterans, LGBTQIA2S+ people, and those with lived experiences in the communities we serve, are strongly encouraged to apply to join our team.

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