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

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

The analyst should have excellent R programming skills. We are especially seeking an analyst to ... Producing data analysis for and providing feedback on data visualizations and descriptions in ...

Data Analyst

Manhattan, NY ยท Hybrid

$70K - $83K/yr

The analyst should have excellent R programming skills. We are especially seeking an analyst to ... Producing data analysis for and providing feedback on data visualizations and descriptions in ...

The analyst should have excellent R programming skills. We are especially seeking an analyst to ... Producing data analysis for and providing feedback on data visualizations and descriptions in ...

Data Analyst

New York, NY ยท On-site

$130K - $170K/yr

You'll join a team of experienced data scientists and analytics engineers, while partnering closely ... Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to ...

Data Analyst

Clark, NJ ยท On-site

Will be in the R&I group (Research and Innovation) *Primary functions: data architecture, data ... Comprehension of DevOps and Agile development and application to data centric architecture and ...

Data Analyst

New York, NY ยท Hybrid

$75K - $100K/yr

Programming experience in Python, Bash scripting, R or related language * Working proficiency in SQL * Foundational understanding of data modeling and analytics best practices * Experience defining ...

This is an entry level role requiring the individual to have the aptitude to learn and to ... Experience with programming languages such as Python, R Studio, SQL * Familiarity in working with ...

We are a hybrid team of data analysts, data engineers, BI developers, and actuarial-engineers that are responsible for the design and implementation of our core data-systems including data ingestion ...

Associate Data Analyst

New York, NY ยท On-site

$70K - $77K/yr

Provide support for internal ad-hoc reporting and data analytics requests and various internal ... Experienced with SQL programming and Python/R. * Outstanding attention to detail, as well as ...

Overview We are seeking skilled and detail-oriented Data Analysts to join our team in a per diem ... Proficiency in statistical software such as Stata, SAS, R, and SPSS. * Effective communication and ...

We have an exciting opportunity to join our team as a Data Analyst. The Brooklyn Data Station at ... Strong quantitative and programming skills (i.e., R, Python, SQL, SAS). Proficiency with data ...

We are seeking skilled and detail-oriented Data Analysts to join our team in a per diem role. The ... Proficiency in statistical software such as Stata, SAS, R, and SPSS. * Effective communication and ...

Data Analyst

Stamford, CT ยท On-site +1

... science, mathematics, engineering, operational research, computer science, or economics ... Technical competency: Advanced Excel and PowerPoint, Intermediate SQL, Python/R, PowerBI ...

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Entry Level Data Analyst R Programming information

See New York, NY salary details

$14

$36

$67

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

As of Jul 29, 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 are popular job titles related to Entry Level Data Analyst R Programming jobs in New York, NY? For Entry Level Data Analyst R Programming jobs in New York, NY, the most frequently searched job titles 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 July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $74,927 per year, or $36 per hour.

Entry Level Data Analyst job

GainAm

Hicksville, NY โ€ข On-site

$70K/yr

Full-time

Re-posted 6 days ago


Job description

Required Skills
A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep Work, Problem Solver, Reliable, consistent, Attention to detail
Required Experience
Ability to learn and utlize Exploratory Data Analysis and Data Cleansing Ability to Write SQL Scripts for Data Warehousing Understanding and knowledge of Ad Hoc Business Analysis
Day to day work involves proficiency in using advanced computerized models to extract the data needed
Removing corrupted data and Performing initial analysis to assess the quality of the data
Performing further analysis to determine the meaning of the data
Performing final analysis to provide additional data screening
Preparing reports based on analysis and presenting to management