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Afternoon Data Analyst R Programming Jobs in Raleigh, NC

Data Strategy-Manager

Raleigh, NC · 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 ...

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

... data engineers to embed testing into the analytics warehouse build process • Define critical data elements (CDEs) and measurable quality standards (e.g., completeness, validity, accuracy ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics technologies including SQL/NoSQL/Graph databases, ETL, and BI. * Knowledge of CI/CD and related tools such as ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics technologies including SQL/NoSQL/Graph databases, ETL, and BI. * Knowledge of CI/CD and related tools such as ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics technologies including SQL/NoSQL/Graph databases, ETL, and BI. * Knowledge of CI/CD and related tools such as ...

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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 Jun 17, 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:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Raleigh, NC? For Afternoon Data Analyst R Programming jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Raleigh, NC look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Raleigh, NC are:
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:
1-20- Sr Data Analyst - MS Dataverse

1-20- Sr Data Analyst - MS Dataverse

Focused HR Solutions

Cary, NC • Remote

$88K - $111K/yr

Full-time

Posted 18 days ago


Job description

Position is 100% remote. Candidate must work EST business hours.
Our direct client has an opening for a Sr Data Analyst w/ MS Dataverse Exp position # 740356. This position is for 12+ months, with the option of extension, and will be worked remotely. (must work EST business hours).
 
If you are interested, please submit the following:
  • Your current resume
  • Your hourly rate                                    
 
Below is the job description – Resumes due ASAP
 
Description:
Currently, the client’s enterprise is a complex, multi-platform data environment. Technologies in use include Oracle, DB2, MySQL, and SQL Server, as well as desktop-based applications such as MS Access and MS Excel. The client aims to establish an enterprise data model with a primary goal of standardizing shared data entities and attributes and a secondary goal of standardizing database management systems and tools. Related transactional databases and data warehouses will be hosted in Azure, generally using Microsoft Dataverse and SQL Server. The Senior Data Analyst/Architect will provide analysis and leadership on data analysis projects across the DEQ enterprise. You will provide insight to other data analysts, data architects, and application developers related to creating an enterprise data model that meets the client's business and technical requirements. You will also provide subject matter expertise related to Microsoft Dataverse, SQL Server, Azure Data Factory, and SSIS. 
 
Required/Desired Skills:
  • Experience with Azure Data Factory as an ETL tool - Required - 3 Years 
  • Experience with MS Dataverse is Required - Required - 3 Years
  • Experience with MS SSIS - Required - 3 Years
  • Proven track record of solving real-world problems using data. Excellent critical thinking skills is a must-have for this role. - Required - 3 Years
  • Bachelor’s Degree or equivalent in a technology-related field (e.g. Computer Science, Engineering, etc.) with a focus on data analysis, and data structure - Required - 3 Years
  • Outstanding interpersonal and communication skills and experience collaborating and influencing across all levels of the organization. - Required - 3 Years
  • Understanding of different database platforms: Oracle, SQL Server (On-Prem / Azure), DB2, and MS Access. - Required - 3 Years
  • Excellent communication skills including written, verbal, and technology illustrations. - Required - 3 Years
  • Understanding of Data Warehousing and data mining. - Required - 3 Years
  • Understanding of modeling strategies (dimensional, snowflake, relational, unstructured). - Required - 3 Years
  • Experience designing and delivering data mapping specifications for large reporting platforms. Writing and maintaining business rules using SQL logic - Required - 3 Years
  • Demonstrated experience in writing ad-hoc SQL statements - Required - 3 Years
  • Strong interest in playing a technical data steward role across our business and technology partners to understand and detail our data, appropriate - Required - 3 Years
  • Proven experience with ERD/Data Modelling tools (Toad or others). - Required - 3 Years
  • Experience in executing projects in an Agile / Hybrid environment - Required - 3 Years
  • Ability to challenge the legacy design and seek opportunities to design better models and better code. - Required - 3 Years
  • Demonstrated technical ability in learning new technologies and adapting to frequent changes in the technical environment - Required - 3 Years
  • Experience with data reporting tools (Power BI, others) - Required - 3 Years
  • Ability to look at data in various formats, organize data for the agency to meet the needs of unique program areas, and enable the programs to effect - Required - 3 Years
  • Experience conceptualizing and visualizing data structures before they are drawn. - Required - 3 Years
  • Experience migrating data from various legacy platforms - Required - 3 Years
 
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About Focuses HR Solutions

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Focused HR Solutions is a Certified Women Business Enterprise by WBENC. FHR is a full service staffing firm that assists clients nationwide with supplemental staff for their information technology departments on a contract, contract to hire, and direct hire basis. Our team has extensive experience providing full service staffing needs to small, medium and large clients. Focused HR Solutions provides services to technology-driven clients that include many of the most prominent firms in the United States. Our client base includes State and Local Governments, Software Vendors, top Fortune 500 Companies, as well as companies in the automotive, retail, financial, health care, and telecommunication industries. At Focused HR Solutions, we utilize technology to market our candidate’s skills and fulfill our client’s job assignments guaranteed.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Scottsdale, AZ, US