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Entry Level Data Analyst R Programming Jobs in New York, NY

... R, Stata, pandas to analyze data * 36 months experience with MS Microsoft Office Suite and Adobe software * 24 months of experience tracking and/or coordinating projects * Bachelor's Degree in ...

Building proactive analysis through data mining to identify trends and opportunities for product ... R or Python (similar to SAS, SPSS, etc.) * Database (SQL, MySQL, NoSQL, Splunk, etc.) * Experience ...

... analytical mind with creative problem-solving skills to use data to drive success. The ideal ... R or Python (similar to SAS, SPSS, etc.) Database (SQL, MySQL, NoSQL, Splunk, etc.) Experience with ...

Data Analyst Location: New York, NY Skills Required * At least 3 years of experience in Money ... Senior Developer level experience in Neo4j Graph database * Strong in Neo4j Cypher queries, Graph ...

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are an expertise with R, SAS, SPSS. * You have worked in Healthcare. * You are amazing in using ...

Data Analyst

Manhattan, NY ยท On-site

$89K/yr

The Data Analyst will analyze these types of data for the purpose of publishing the Annual Summary ... Extensive experience using SAS or R and experience using Microsoft Office, Excel, Access, and ...

Data Analyst

Queens, NY ยท On-site

$65K - $75K/yr

Experience with statistical software, methods, and analysis, with the ability to learn tools such as R. * 1-2 years' experience creating dashboards and visually compelling data visualizations using ...

We are seeking a motivated Data Analyst to join our team and contribute to an exciting research ... Proficiency in at least one programming language (Python, R) and machine learning tools ...

Work with Data Engineering team as required to implement data pipelines and tools to ensure efficient and seamless execution of analytics * Using customer value segmentation and customer lifetime ...

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

This position focuses on analyzing source data structures, developing source-to-target mapping ... Proficiency in at least one programming language (Python, R) and machine learning tools ...

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

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Entry Level Data Analyst R Programming information

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How much do entry level data analyst r programming jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for entry level data analyst r programming in New York, NY is $36.02, according to ZipRecruiter salary data. Most workers in this role earn between $23.12 and $40.24 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What is an Entry Level Data Analyst (R Programming)?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry-level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.
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 job categories do people searching Entry Level Data Analyst R Programming jobs in New York, NY look for? The top searched job categories for Entry Level Data Analyst R Programming jobs in New York, NY are:
Infographic showing various Entry Level Data Analyst R Programming job openings in New York, NY as of June 2026, with employment types broken down into 2% As Needed, 25% Full Time, 64% Part Time, and 9% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $74,927 per year, or $36 per hour.

Data Analyst

Maagsoft Inc.

Manhattan, NY โ€ข On-site

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

ย 
Role : Data Analyst
Location : NewYork
Client : State of NY
ย 
Requested Qualifications:
  • 36 months of experience cleaning and organizing data, using Excel
  • 36 months of experience working with large datasets using MS Excel or similar tools
  • 36 months of experience with sourcing publicly available data
  • 24 months of experience using statistical packages, like R, Stata, pandas to analyze data
  • 36 months experience with MS Microsoft Office Suite and Adobe software
  • 24 months of experience tracking and/or coordinating projects
  • Bachelor's Degree in economics, statistics, public policy, climate, or related disciplines
  • 36 months experience working collaboratively in matrixed teams, while managing stakeholder relationships. For example: working on a project with multiple owners, requiring sign-off from separate divisions

Required Documentation:

  • Resume
  • Copy of Candidate Identification (i.e., Driverโ€™s License//Visa and Passport if applicable)
  • Any documents referenced in the above Requested Qualifications (i.e., professional certifications, degrees, etc.)
ย 

Thanks & Regards
Purushotham Reddy
Lead Technical Recruiter
Maagsoft Incย - NYS MBE Certifiedย