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Afternoon Data Analyst R Programming Jobs in Edison, NJ

Lemonade

Data Analyst

New York, NY · On-site

Partner across Engineering, Biz Ops, Insurance Product, Actuarial, and Finance on data projects ... Advanced SQL and working proficiency in Python or R for analysis, scripting, and lightweight ...

Konrad

Senior Data Analyst

New York, NY · Hybrid

$100K - $125K/yr

You work closely with consultants, data engineers, developers, designers and clients across ... Proficiency in Python, R, or similar language for data analysis and automation * Advanced ...

Sundaysky

Data Analyst

New York, NY

... 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 ...

Sundaysky

Data Analyst

New York, NY · On-site

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 ...

Konrad

Senior Data Analyst

New York, NY · On-site

$100K - $125K/yr

You work closely with consultants, data engineers, developers, designers and clients across ... Proficiency in Python, R, or similar language for data analysis and automation * Advanced ...

Twin Health

Lead Data Analyst

New York, NY · On-site +1

$130K - $140K/yr

You won't just analyze data; you'll build the tools that shape our strategy. As a Lead Analyst, you ... Advanced skills in SQL and statistical programming (Python or R). Must have experience building and ...

Ra

Data Analyst

New York, NY

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 ...

Ra

Data Analyst

Princeton, NJ

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 ...

NYULMC

Data Analyst - Model Credibility

New York, NY · On-site

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 ...

Healthix

Data Analyst

New York, NY · On-site

$90K - $125K/yr

Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery. * Independently address the data requirements of multiple teams ...

Healthix

Data Analyst

New York, NY · On-site

$90K - $125K/yr

Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery. * Independently address the data requirements of multiple teams ...

NYULMC

Data Harmonization Analyst

New York, NY · On-site

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 ...

Queens Public Library

Data Analyst

Queens, NY · 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 ...

Healthix, Inc.

Data Analyst

New York, NY · On-site

$95K - $125K/yr

Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery. * Independently address the data requirements of multiple teams ...

Hearst Newspapers

FinOps Data Analyst

New York, NY

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 ...

Hearst Television

FinOps Data Analyst

Manhattan, NY

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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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Edison, NJ

Afternoon Data Analyst R Programming information

See Edison, NJ salary details

$35.2K

$85.6K

$140.8K

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

As of Jun 29, 2026, the average yearly pay for afternoon data analyst r programming in Edison, NJ is $85,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,700.00 and $100,400.00 per year, depending on experience, location, and employer.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

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

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
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Afternoon Data Analyst R Programming jobs near you
Data Analyst

Data Analyst

Coalition For The Homeless INC

Manhattan, NY • On-site

$60K - $65K/yr

Full-time

Posted 3 days ago

Key responsibilities

  • Prepare, clean, and organize data for analysis across multiple systems.

  • Build and maintain reports that deliver timely, accurate information on the shelter system.

  • Fulfill and track data requests from teams across the organization.

Job description

Description:

The Coalition for the Homeless serves in a unique role as the designated independent monitor of the homeless shelter system and a party to the many legal cases establishing the rights and protections of homeless New Yorkers. In that capacity, the Coalition receives a tremendous volume of data from the City of New York daily. Additionally, the Coalition collects data through its own day-to-day operations and its twelve programs directly serving our clients.


The Data Analyst plays a central role in organizing, analyzing, and distributing data to appropriate staff and partners. This work supports a range of critical functions including internal analysis, grant reporting, and advocacy efforts that drive policy change on behalf of New Yorkers who are homeless or at risk of homelessness.


Responsibilities include:


· Prepare, clean, and organize data for analysis across multiple systems.

· Build and maintain reports that deliver timely, accurate information on the shelter system.

· Fulfill and track data requests from teams across the organization.

· Partner and support teams with their data requests. Anticipate these needs and plan accordingly.

· Document data processes, reports, and workflows to support consistency, quality, and institutional knowledge.

· In partnership with the Data Director and Coalition teams, identify opportunities to improve the Coalition's systems and tools for storing, distributing, and analyzing data.

· Obtain regular supervision from the Data Director to review assigned tasks, troubleshoot concerns and ensure that department and agency needs are met.

· Perform all other duties assigned by Data Director or designee.


REPORTS TO: Data Director


Requirements:
  • Bachelor's degree and 1–2 years of professional experience working with data for reporting or analysis (or equivalent) strongly preferred.
  • Experience cleaning and preparing data with a coding language such as Python, R, or SQL strongly preferred.
  • Familiarity with data visualization tools such as Tableau or similar strongly preferred.
  • Strong attention to detail and ability to ensure data accuracy.
  • Clear written and verbal communication skills, including comfort communicating about data to non-technical audiences
  • Ability to work with agency teams in a supportive and collaborative manner
  • Ability to manage multiple priorities and follow through on deadlines independently
  • Curious, motivated, and eager to continue developing technical skills
  • Commitment to the mission of the Coalition for the Homeless

Apply