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

Data Analyst

New York, NY · On-site +1

$97K/yr

Collaborating with our Product Management, Data Science, and Software Engineering teams to bring analyses and data modeling into production software * Analyzing trends and changes in areas related to ...

Demonstrated ability to take analytics/reporting/data science projects from start to finish - including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations

... analyze and report on student recruitment activity and enrollment and marketing data. They will ... Some programming experience, preferably using statistical tools like Python or R * Excellent ...

Looking to have someone who fits the profile of either a Data Analyst or a Data Engineer refactor the ETL pipelines from one system into the next one. Need people who are able to work independently ...

AVP, Technical Data Analyst

Warren, NJ · Hybrid

$175K - $210K/yr

Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.). * Experience working in Cloud native technologies * Strong experience in Data Modeling, Data Governance ...

AVP, Technical Data Analyst

Warren, NJ · On-site

$175K - $210K/yr

Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.). * Experience working in Cloud native technologies * Strong experience in Data Modeling, Data Governance ...

AVP, Technical Data Analyst

Warren, NJ · Hybrid

$175K - $210K/yr

Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.). * Experience working in Cloud native technologies * Strong experience in Data Modeling, Data Governance ...

Data Analyst/Finance Analyst Location: 333 Earle Ovington Blvd, Uniondale, NY Duration: 3- Months ... BA or BS Degree preferably in Math/Econ, Engineering, Computer Science or Finance or equivalent ...

As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ... Programming experience, Python in particular, is a plus

Data Analyst

New York, NY · On-site

$69K - $85K/yr

As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ... Programming experience, Python in particular, is a plus Powered by JazzHR Z8TdorkT0r

Sr Data Analyst

New York, NY · On-site

$94K - $118K/yr

The Analytics group (Redbox) is passionate about data analysis, measurement, and storytelling. We ... Familiarity with programming languages is a plus (R, Python, dbt, SQL) Location: This role is ...

Sr Data Analyst

New York, NY · On-site

$94K - $118K/yr

The Analytics group (Redbox) is passionate about data analysis, measurement, and storytelling. We ... Familiarity with programming languages is a plus (R, Python, dbt, SQL) Location: This role is ...

EXL Analytics provides data-driven, action-oriented solutions to business problems through ... Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations ...

Showing results 41-60

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 Sep 9, 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 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 skills and qualifications are needed to thrive as an entry level data analyst r programming?

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 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 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:

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

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

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

Infographic showing various Entry Level Data Analyst R Programming job openings in New York, NY as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $74,927 per year, or $36 per hour.

Data Analyst

New York, NY • On-site, Remote

Recidiviz
Internet and IT • 1 - 10 employees

$97K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Key responsibilities

  • Explore datasets to find new insights about American criminal justice systems

  • Contextualize and communicate key findings to internal and external stakeholders

  • Collaborate with teams to design and execute roadmaps that drive impact in the states where we work


Job description

Location: Remote, New York City, or Oakland, CA
  • Travel is encouraged approximately once every 6 months to state partners within the continental USA, and occasionally required. We expect these trips to include visits to prisons and parole offices.

Role Type: Full-time
Compensation: $97,000
Visa sponsorship: Not available
Hires remotely in: United States
Experience: 2+ years of full-time, professional work experience
Recidiviz is thrilled to be hiring a Data Analyst to join our team! We're a small, fast-moving group that works with complex criminal justice data from our state partners and develops analyses and tools that target the drivers of incarceration. That's where you come in. We're looking for someone who has attention to detail to improve our analysis, creativity and inquisitiveness to identify and solve open-ended problems, clarity to think through complex and variable data, flexibility to adjust in a rapidly evolving environment, and above all else, a collaborative, kind nature to add to our culture.
About us
Recidiviz is creating safer, healthier communities by improving outcomes for people in the criminal justice system. We build technology to reduce the number of people in prison and to help criminal justice leaders embrace data-driven decision-making.
Using software tools and thoughtful product design, we've been able to safely and permanently reduce incarceration and improve outcomes. We work side-by-side with leaders of the criminal justice system, people in prison and on supervision, and ecosystem partners to build a better path forward. In addition to the revenue we earn from state partners, some of the most respected philanthropists and foundations support our work.
People who succeed at Recidiviz lead with kindness and humility, assume good intent, learn from failure, and fix problems when they see them. They are excited to work arm in arm with government leadership and staff to improve outcomes. They are great listeners. They build deep relationships with and empathy for the people we work with and the people who our mission serves, even when those two groups feel at odds.
About the role
This role collaborates across several teams to guide work that targets the drivers of incarceration. Our Data Analysts work with diverse data - criminal justice data both raw and processed from across the country, reports and policy documents from government agencies, and much more - to develop our understanding of the criminal justice system and to motivate change. They perform analyses, contribute to tooling that improve our data and how we work with it, and help drive product launches by ensuring each product in each state has the analytical data required to drive the impact we seek. Our Data Analysts also play a key role in contextualizing and presenting their analyses to key stakeholders, both internal and external.
Travel is encouraged approximately once every 6 months to state partners within the continental USA, and occasionally required. We expect these trips to include visits to prisons and parole offices.
Core responsibilities
  • Exploring our datasets to find new insights about American criminal justice systems
  • Contextualizing and communicating key findings to internal and external stakeholders
  • Collaborating with our State Engagement and Implementation Engineering teams to design and execute on targeted roadmaps that drive impact in the states where we work
  • Collaborating with our Product Management, Data Science, and Software Engineering teams to bring analyses and data modeling into production software
  • Analyzing trends and changes in areas related to our own work to understand how our products function
Wild success
A year from now:
  • You've driven impact. Your work has led to several launches of our products across the country and has helped quantify the impact those tools are having on the outcomes of the justice system.
  • You've leveled up our analytical team. Your contributions to our tooling and processes, as well as your support for your teammates, has helped set our team up to achieve more impact sooner.
Minimum qualifications
  • Strong communication and collaboration skills, to help nurture a knowledgeable, data-oriented culture
  • Enthusiasm for working with internal and external partners from diverse backgrounds and worldviews, such as government staff, researchers, journalists, technical staff, and practitioners in criminal justice reform
  • Ability to inspect source data, reason about data models, examine results closely, and prepare data and analyses that are usable for various applications
  • 2 or more years of practical experience exploring, analyzing, and processing complex datasets
  • Professional work experience using SQL to work with large datasets, including high proficiency writing efficient queries for more complex data extraction and transformation tasks
  • High familiarity with Python, specifically Pandas package, for tasks such as statistical analysis and data visualization
Preferred qualifications
  • Experience working in a cross-functional organization that designs, builds, and launches products for users
  • Experience working with large datasets from the public sector, especially related to criminal justice
  • Familiarity with our data stack, which includes Google Cloud Platform, BigQuery, Looker, Jupyter notebooks, and Python/Pandas
Compensation
Compensation is standardized based on roles and responsibilities. This ensures equitable compensation and responsible stewardship of our resources. As such, we do not negotiate compensation offers.
The annual compensation for this role is: $97,000.
What we offer
  • Effective, extremely thoughtful colleagues, working together on a mission that matters
  • 90% medical, dental, and vision insurance coverage for you and your dependents
  • Flexible time off, including 20 days of PTO, 3 days of paid volunteering time, and 13 paid holidays
  • 12 weeks of paid parental leave
  • 401(k) retirement plan with 5% company match and no vesting period
  • Complimentary One Medical membership (depending on location)
  • Partnership with Carrot to provide employees with inclusive fertility and family-forming benefits, as well as a small but growing number of hormonal health and gender-affirming care benefits
  • Monthly ClassPass credit for personal wellness
  • Free mental health support via Talkspace
  • Well-located offices in Oakland and Manhattan, with the flexibility to work remotely or go into either office as you choose
  • An annual company offsite each spring and other ad-hoc gatherings
  • All the exhilarating challenges and stretch opportunities of a tech startup, combined with the mission-driven heart of a nonprofit
More about Recidiviz
Recidiviz was an all-volunteer effort until early 2019, when Clementine, Andrew, and Joshua founded the organization. Since then, we've built an A-team of software engineers, designers, product managers and domain experts, from companies like Google, Apple, Dropbox, Opower, and Sidewalk Labs. Recidiviz was part of Y-Combinator's 2019 class and has received support from some of the most respected philanthropists and foundations, including Ford Foundation, Mackenzie Scott, Schmidt Futures, Arnold Ventures, Chan Zuckerberg Initiative, and the Mozilla Foundation.
Today, Recidiviz works with (and earns revenue from) over 20 state partners - big and small, red and blue - and covers more than 46% of the US incarcerated population. We have helped to get tens of thousands of people out of the criminal justice system, safely and equitably, and saved states nearly $1 billion. In the next five years, Recidiviz plans to partner with 40 states and help 250,000 people who are stuck in the system to get out and stay out. In addition to partnering with state Departments of Corrections, Recidiviz collaborates with and learns from partners - from organizations like the Correctional Leaders Association (CLA) to community based organizations and justice-impacted individuals, whose perspectives guide our work.
To learn more about how we do what we do, check out our 2025 Year in Review, read some press coverage, or watch our TED Talk.
An important note
Lasting change is always built on diversity. Recidiviz recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, sex, sexual orientation, disability, age, veteran status, ancestry, citizenship, marital status, gender identity and all protected status as required by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a special need that requires accommodation, please let us know in your application. Even if you don't think you meet all the criteria above, drop your resume, and we'll take a look - you might be great for another role or another time!