1

Afternoon Data Analyst R Programming Jobs in Alexandria, VA

Role: DATA ANALYST Location: DC (Onsite) (need locals or candidates from DMV area) Client is ... Demonstrate programming language proficiency (R or Stata preferred), knowledge of database ...

GRVTY is seeking a motivated and experienced Data Analyst to support the maintenance of data ... with programming languages and tools including: Python, R, SQL, GIS, Tableau โ€ข Experience ...

Analyze, integrate, and test software/data systems; script using Python/R; support analytics ... Developer (HCAHD) (Hortonworks)/Certified Information System Security Professional (CISSP ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

What Impact You'll Have GRVTY is seeking a motivated and experienced Data Analyst to support the ... Experience with programming languages and tools including: * Python * R * SQL * GIS * Tableau

Journeyman Data Analyst

Bethesda, MD ยท On-site

$73K - $132K/yr

... R, SQL, VBA. * Proficiency in visualizing and presenting data using platforms such as Tableau, Power BI, or equivalent * Requires demonstrated ability with data analysis, data engineering, and data ...

... R, SQL, VBA. * Proficiency in visualizing and presenting data using platforms such as Tableau, Power BI, or equivalent * Requires demonstrated ability with data analysis, data engineering, and data ...

Partner with data engineers/data architects to support data definitions, lineage, and reporting ... Experience with Python or R for data analysis/automation. Experience with statistical methods (e.g ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

Partner with data engineers/data architects to support data definitions, lineage, and reporting ... Experience with Python or R for data analysis/automation. Experience with statistical methods (e.g ...

Partner with Data Engineers toalign onlogic and data source integration. * Define and implement ... Preferred * Experience with Python or R for data manipulation and analysis. * Familiarity with ...

Partner with Data Engineers toalign onlogic and data source integration. * Define and implement ... Preferred * Experience with Python or R for data manipulation and analysis. * Familiarity with ...

Partner with Data Engineers to align on logic and data source integration. * Define and implement ... Preferred * Experience with Python or R for data manipulation and analysis. * Familiarity with ...

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 10% Clearance ... Coding skills in Python, R, SQL, or other languages are a plus * Experience with statistical ...

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 10% Clearance ... Coding skills in Python, R, SQL, or other languages are a plus * Experience with statistical ...

Perform data analysis to identify trends, patterns, and correlations. C. Create data models ... The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Alexandria, VA salary details

$36.4K

$88.5K

$145.6K

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 Alexandria, VA is $88,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $103,800.00 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 are the most commonly searched types of Data Analyst R Programming jobs in Alexandria, VA? The most popular types of Data Analyst R Programming jobs in Alexandria, VA are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Alexandria, VA? For Afternoon Data Analyst R Programming jobs in Alexandria, VA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Alexandria, VA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Alexandria, VA are:
What cities near Alexandria, VA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Alexandria, VA with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Alexandria, VA as of July 2026, with employment types broken down into 1% As Needed, 51% Full Time, 40% Part Time, 1% Temporary, 1% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $88,451 per year, or $42.5 per hour.

Data Analyst

Kanak Elite Services Inc

Washington, DC โ€ข On-site

Contractor

Re-posted 27 days ago


Job description

Hi,
Hope you are doing well.

My name is Anjali, and I am a Sr Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, share me your updated resume on anjali08@kanakits.com.  


Role: DATA ANALYST

Location: DC (Onsite) (need locals or candidates from DMV area)

Client is looking for a Data Analyst to support the district’s efforts to establish a continuum of care implementation plan to address gaps in service delivery for youth involved in the juvenile justice system.

Position Description:

Client requires the services of a full-time Data Analyst to analyze qualitative and quantitative data to help support the agency’s Continuum of Care project. The primary goal of the initiative is to support improved outcomes for youth and families by creating a plan to facilitate the development of a continuum of care for at-risk youth in the District of Columbia. The Data Analyst will collaborate with the Project Director as well as government and community stakeholders in D.C. to identify and collect data relevant to the development of a plan for the establishment of a continuum of care to address gaps in service delivery for youth involved in and at risk of involvement in the juvenile justice system. A well-resourced continuum of care should include a wide range of supports, from community-based prevention services for youth at risk of system involvement, to diversion and intervention services that prevent youth from penetrating deeper into the juvenile justice system, as well as re-entry services to help support with community reintegration following a period of detention.

The Data Analyst will organize and conduct research, and analyze data to support the creation of an implementation plan for the development of a continuum of care for at-risk youth in the District, that at minimum includes asset mapping, a gap analysis, qualitative and quantitative data collection and analysis, and a report detailing the continuum of care plan with an implementation timeline.

Specific Duties:

1.Attend monthly meetings with the Project Director and hiring manager staff to update the agency regarding the status of the project, including progress and any challenges encountered.

2.Attend Planning Council meetings and collaborate with stakeholders to identify key data points for tracking and monitoring.

3.Collaborate with relevant agencies to collect and analyze selected data and identify trends.

4.Plan, organize and conduct qualitative research to support asset mapping and gap analysis.

5.Complete a literature review to identify best practices in juvenile justice.

6.Use collected and analyzed data to help inform Continuum of Care implementation plan.

Required Skills and Experience

1.Required: Bachelor’s degree or equivalent experience.

2.Required: 6 year of work experience in the social sciences, preferably specializing in criminal justice, juvenile justice, public health, social science, or behavioral sciences.

3.Required: 6 year of experience conducting research and evaluations using public health or justice system administrative data.

4.Required: Demonstrate an understanding of statistical concepts and their application in the analysis of public health and criminal justice data.

5.Required: Demonstrate programming language proficiency (R or Stata preferred), knowledge of database management and data visualization.

6.Required: Demonstrate an ability to work collaboratively, respond to stakeholders’ needs, and regularly update stakeholders about project milestones.

7.Required: Demonstrate an ability to analyze information from disparate datasets to derive a comprehensive understanding of the research topic, identify trends and draw meaningful conclusions.

8.Required: Outstanding analytical skills, including an ability to analyze complex data sets, identify trends and draw meaningful conclusions.

9.Required: Outstanding communication skills, including an ability to present complex data in a way that is easily understood, clear and concise.