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Afternoon Data Analyst R Programming Jobs in New York

tignovate

Data Analyst

Manhattan, NY · On-site

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 ...

Maagsoft Inc.

Data Analyst

Manhattan, 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 ...

PitchBook Data

Data Analyst

New York, NY

$85K - $100K/yr

Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets * Serve as ...

PitchBook Data

Data Analyst

New York, NY · On-site

Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets * Serve as ...

Fidel Softech Ltd.

Data Analyst

Manhattan, NY · Remote

... such as R, sparklyr, Databricks, Starburst, Collibra, Tableau, Python, and/or Alteryx ... A minimum of seven years working as a Data Analyst Seven years of experience in application and ...

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 ...

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 ...

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 ...

Purple Drive Technologies

Data Analyst

New York, NY · On-site

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 ...

Healthix

Data Analyst

Manhattan, 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 ...

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 ...

Ra

Data Analyst

New York, NY · On-site

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 ...

Public Health Solutions

Data Analyst

Manhattan, NY · 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 ...

Healthix

Data Analyst

Manhattan, 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 ...

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Afternoon Data Analyst R Programming information

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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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
Adjunct Instructor - GPH-GU 2182 Statistical Programming in R (Graduate)

Adjunct Instructor - GPH-GU 2182 Statistical Programming in R (Graduate)

New York University

New York, NY • On-site

$222.27/hr

Full-time

Posted 4 days ago

New York University rating

8.3

Company rating: 8.3 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

95th of 535 rated colleges and universities

Job description

Description
Position: Adjunct Instructor - GPH-GU 2182 Statistical Programming in R (Graduate)
Department: NYU School of Global Public Health - Biostatistics
Supervisor: Dr. Rebecca Betensky
Employment Dates: Fall 2025
R is one of the most popular programming languages in statistics and data science. This course will introduce various R programming topics, including R objects, data visualization, data import & export, data manipulation, creating functions and iterations for statistical simulations, and writing high-quality reports with R Markdown. The course will focus on public health datasets as illustrations to best meet the practical needs of GPH students but is also open to those of other backgrounds. By the end of the course, students will be able to comfortably program in R for effective data preprocessing, analysis and presentation. This course does not require prior experience in programming or statistics and serves as a foundation for other courses in biostatistics, epidemiology, and data science.
Two sections are available:
  1. Wednesdays, 2:00-4:40pm, Sept 3 - Dec 10, 2025
  2. Mondays, 4:55-7:35pm, Sept 8 - Dec 8, 2025

Qualifications
Qualified applicants will have an advanced degree in statistics or a related field (PhD preferred). Previous experience teaching introductory statistics is preferred.
Application Instructions
If interested, please upload a CV and cover letter via interfolio.
In compliance with NYC's Pay Transparency Act, the hourly rate for this position is $222.27. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer.

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

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Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831

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