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Entry Level Data Analyst R Programming Jobs in Jersey City, NJ

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 · 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 ...

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Big Data Engineer

New York, NY · On-site

$30 - $40/hr

... Entry-Level Data Engineer to join our data team. In this role, you will help design, build, and maintain data pipelines that support analytics, reporting, and business operations. You will work ...

New

Data Analyst

New York, NY · 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 ...

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 ...

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 ...

Associate Data Analyst

New York, NY · 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 ...

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 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 ...

Data Analyst

New York, NY · On-site

$66K - $79K/yr

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 ...

Proficient in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python). * Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual ...

... programming (XML, Javascript, or ETL frameworks) * Knowledge of statistics and experience using ... Proficient in Python and statistical and analytical tools like R * Experience with automation tools ...

Data Analyst

New York, NY · On-site +1

$21 - $32/hr

Proficiency in data analysis tools and languages, such as SQL, Python, or R. * Demonstrable experience with data visualisation tools (e.g., Tableau, Power BI). * Excellent written and verbal ...

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Entry Level Data Analyst R Programming information

See Jersey City, NJ salary details

$13

$34

$64

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

As of Jul 31, 2026, the average hourly pay for entry level data analyst r programming in Jersey City, NJ is $34.37, according to ZipRecruiter salary data. Most workers in this role earn between $22.07 and $38.37 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 Jersey City, NJ? The most popular types of Data Analyst R Programming jobs in Jersey City, NJ are:
What are popular job titles related to Entry Level Data Analyst R Programming jobs in Jersey City, NJ? For Entry Level Data Analyst R Programming jobs in Jersey City, NJ, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst R Programming jobs in Jersey City, NJ look for? The top searched job categories for Entry Level Data Analyst R Programming jobs in Jersey City, NJ are:
Infographic showing various Entry Level Data Analyst R Programming job openings in Jersey City, NJ 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 $71,485 per year, or $34.4 per hour.

Full-time

Medical, Retirement

Posted 20 days ago


NYU Langone Health rating

8.5

Company rating: 8.5 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

16th of 885 rated healthcare providers


Job description

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, X and Instagram.

Position Summary:
We have an exciting opportunity to join our team as a Data Analyst.
The Department of Population Health at NYU Grossman School of Medicine seeks a Data Analyst to support the City Health Dashboard and Congressional District Health Dashboard projects. The analyst will support two national interactive websites that track health and health-related metrics, the City Health Dashboard (www.cityhealthdashboard.com) and Congressional District Health Dashboard (www.congressionaldistricthealthdashboard.org). This will involve working with data at the federal, congressional district, county, city, census tract, and census block levels; aggregating geographic data; and rigorously calculating population health metrics that align with administrative boundaries. The analyst should have excellent R programming skills. We are especially seeking an analyst to support our geospatial analysis work.
We are a dynamic and diverse team that values collaboration, growth, and passion for public health. We strive for a supportive environment that encourages team members to maintain high standards for the quality of their work while also maintaining a balance with other life priorities.

Job Responsibilities:

  • Retrieving, analyzing, and evaluating health metric data parsed to various geographic boundaries for use in project websites with attention to issues of sample size, bias, and timeliness 
  • Exploring new geospatial calculation methods, monitoring administrative boundary updates, and generating geographic boundaries for website release
  • Documenting workflows and methodological challenges to generating health metric estimates across various geographies
  • Regularly presenting analytic processes and results to other team members
  • Producing data analysis for and providing feedback on data visualizations and descriptions in communications materials, blogs, journal articles, reports, and policy briefs, including drafting sections of such materials as needed
  • Providing background research, code development, and workflow testing for the team's data infrastructure systems, and maintaining existing R functions and SQL databases
  • Providing background research, obtaining and wrangling data, writing code and conducting metric validation as part of the team's new metric research process
  • Other administrative, analytic, or research tasks as necessary

Minimum Qualifications:
To qualify you must have a A masters degree in a related field (biostatistics, epidemiology, public health) or equivalent combination of education and experience
Skill and experience in the R statistical programming software
Familiarity with commonly used public health metrics
Familiarity with U.S. administrative geographies (counties, congressional districts, consolidated and incorporated places, census tracts, etc.)
Experience in R tidyverse packages, writing functions in R, SQL, and Git
Demonstrated interest in public health and health equity
Ability to perform basic statistical and descriptive analyses and interpret the results
Ability and interest in working respectfully, reliably, and collaboratively with other team
members on multiple projects simultaneously.
Ability to be detail-oriented, organized, and take initiative on projects
This is a hybrid position. Candidates must be willing and able to commute to mid-town
Manhattan at least once per week

Preferred Qualifications:
2-3 years' work, internship, or project experience in an analytics role
Familiarity with major US federal datasets
Ability to read manuscripts and technical documents and assess the validity of methodological approaches
Experience and interest in working with various types of geospatial data and performing common spatial manipulations (intersects, centroids, reprojections, buffers, etc.)
An attitude of creative and collective problem solving and openness to new ideas
Ability to be detail-oriented, organized, and take initiative on projects

Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
View Know Your Rights: Workplace discrimination is illegal.

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $70,481.60 - $83,475.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice, please click here


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