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Afternoon Data Analyst R Programming Jobs in Apex, NC

Data Analyst II Location: Charlotte, NC OR Raleigh, NC (Hybrid) Duration: 2+ Year Contract Overview ... Experience with Python programming language * Document warehouses to support cross training of co ...

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Data Science Tutor

Raleigh, NC ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Chapel Hill, NC ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Durham, NC ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Senior AI FinOps Data Analyst

Raleigh, NC ยท On-site +1

$88K - $141K/yr

The Senior FinOps Data Analyst sits at the intersection of Cloud Infrastructure, Corporate Finance, and AI Engineering. This is not an administrative or passive reporting role; it requires an AI ...

Data Strategy-Manager

Raleigh, NC ยท On-site

$99K - $232K/yr

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

Showing results 21-40

Afternoon Data Analyst R Programming information

See Apex, NC salary details

$25.9K

$63K

$103.6K

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

As of Aug 8, 2026, the average yearly pay for afternoon data analyst r programming in Apex, NC is $62,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $73,900.00 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?

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 job categories do people searching Afternoon Data Analyst R Programming jobs in Apex, NC look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Apex, NC are:
What cities near Apex, NC are hiring for Afternoon Data Analyst R Programming jobs? Cities near Apex, NC with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Apex, NC as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $62,968 per year, or $30.3 per hour.

Data Analyst II

S3

Raleigh, NC โ€ข On-site

Full-time

Posted yesterday

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Job description

Data Analyst II 

Location:  Charlotte, NC OR Raleigh, NC (Hybrid)

Duration:  2+ Year Contract

Overview:

Individuals have primary responsibility for the design, development, and maintenance of reporting, dashboard, and data warehouse solutions (Power BI, SSAS models, SQL, Power Automate, SSRS, etc.) that support decision making within the Power Grid Operations organization.

Duties and Responsibilities:

  • Work with internal customers on the development of reporting requirements
  • Uses technical understanding of existing reporting warehouses, or may develop local warehouses when necessary to support the development of solutions
  • Aggregate data from various data sources to automate a manual business process
  • Development of medium to complex solutions using Power BI or SQL Server Reporting Services (SSRS)
  • Support creation and maintenance of tabular models and cubes in PowerPivot or SQL Server Analysis Services (SSAS)
  • Develop medium to complex SQL against either Oracle or SQL Server databases
  • Extensive knowledge of Data Warehousing fundamentals
  • Experience in database design, creating table and views, or writing stored procedures
  • Experience with Power Automate and/or Power Apps
  • Experience with Python programming language
  • Document warehouses to support cross training of co-workers
  • Interface with internal organizations such as Finance, Project Management, Lighting, or Resource Management to facilitate solution delivery
  • Coordinate with Information Technology on requests
  • Develop solutions to complex business problems in a systematic manner
  • Using Project Management fundamentals to help drive projects and initiatives to successful conclusion

Additional Preferred Qualifications

  • Familiarity with Agile fundamentals
  • Report development, metrics and analytics experience
  • Experience with Primavera P6 Project Portfolio Management application
  • Experience with BI tools such as Power BI
  • Extensive knowledge of SQL (Oracle or SQL Server)
  • Experience with advanced Excel features (pivot tables, vlookup, etc.)
  • Experience with AI tools
  • Knowledge of SQL Server Reporting Services (SSRS)
  • Demonstrated experience with Tabular or Multi-dimensional Models in PowerPivot or SQL Server Analysis Services (SSAS)
  • Experience with Teams and SharePoint
  • Strong communication skills
  • Demonstrated problem solving skills