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Afternoon Data Analyst R Programming Jobs in Raleigh, NC

Pwc

Data Strategy-Manager

Raleigh, NC

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

GSK

Principal Statistical Programmer

Durham, NC · On-site

... data. Mentor junior programmers and influence programming approaches through strong technical ... Lead programming for studies, ensuring efficient development and validation of analysis packages.

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Raleigh, NC

Afternoon Data Analyst R Programming information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Jul 9, 2026, the average yearly pay for afternoon data analyst r programming in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 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.
What are the most commonly searched types of Data Analyst R Programming jobs in Raleigh, NC? The most popular types of Data Analyst R Programming jobs in Raleigh, NC are:
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What cities near Raleigh, NC are hiring for Afternoon Data Analyst R Programming jobs? Cities near Raleigh, NC with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you

Data Analyst / Full Stack Developer

Archer IT

Raleigh, NC • On-site

Contractor

Posted 9 days ago

Job description

Company Description

Archer IT is a NYC based recruiting firm and trusted adviser to leading companies in the financial services, investment banking, fintech, and media industries across North America. Our client, has a current position available for a Quantitative Data Analyst / Developer in Raleigh.

Job Description

Join a fast-paced, high-energy global team that continually leverages a unique mix of quantitative and technology skills to create disruptive electronic trading products to drive business revenue, while efficiently managing operational risk, and ensuring high control standards. The teams core expertise includes (1) Electronic & Systematic Risk Trading (2) Quantitative Pricing (3) Data.

In this role you will:

Contribute to developing innovative electronic trading quantitative analytics, technologies and products. As the team is small and very entrepreneurial, it is very results driven and believes every member (from the most junior to the most senior) brings a unique value and is pivotal to the team's success.

Qualifications

The right person for the position will be a combination of Data Analyst and Web Developer with the following skills:

  • Full stack web development
  • ELK Stack - Elastic, Logstash and Kibana
  • Experience in working on front end JS libraries such as AngularJS, React
  • Design patterns
  • Good knowledge of Databases / SQL Queries (able to write complex queries in order to retrieve data from various data sources such as Sybase, Sybase IQ, Rainstor)
  • Solid Excel skills, such as usage of pivot tables or data table analysis
  • It would be great if you also have C# / .NET and some exposure to working with unstructured data sets
Additional Information

This is a contract position.

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