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Afternoon Data Analyst R Programming Jobs in Burke, VA

Transform, manipulate, combine, and analyze data using programming languages such as Python or R. * Develop dashboards, reports, and interactive data visualizations using Tableau. * Create ...

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and ... analytics; preference for research, quantitative analysis, data manipulation, and data ...

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and ... analytics; preference for research, quantitative analysis, data manipulation, and data ...

Data Analyst

Washington, DC ยท On-site

$71 - $79/hr

The Data Analyst shall have knowledge and expertise with R and Tableau. The role will involve working closely across education and workforce agency teams. The ETEP Data Analyst should possess ...

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and ... analytics; preference for research, quantitative analysis, data manipulation, and data ...

Data Analyst

Springfield, VA ยท On-site

$110K - $150K/yr

Data analysis competency with mathematical programming languages (i.e., MATLAB, Python, R, etc.) or equivalent with the ability to produce charts and tables. * Ability to exercise independent ...

Analytica is seeking a Data Analyst to support the Defense Health Agency (DHA). This role will ... Experience with at least one of the following programming languages: * SAS * SQL * R * Python

Analytica is seeking a Data Analyst to support the Defense Health Agency (DHA). This role will ... Experience with at least one of the following programming languages: * SAS * SQL * R * Python

Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for research community ...

Analytica is seeking a Data Analyst to support the Defense Health Agency (DHA). This role will ... Experience with at least one of the following programming languages: * SAS * SQL * R * Python

... R and Microsoft Office Suite. Establish quantitative and qualitative metrics and key performance ... including engineers, data analysts, and developers Possession of strong analytical, critical ...

Data Analyst

Washington, DC ยท On-site

$70K - $100K/yr

Required Skills and ExperienceAssociate degree in Data Analytics, Engineering, Information Systems, or related field.4 years of relevant experience, or 3 years with a Bachelor's degree.CAP Essentials ...

Data Analyst

Reston, VA ยท On-site

Collaborate with other data workstreams (Data Engineers, Data Architects, Data Scientists, Product ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

Statistician/Data Analyst

Washington, DC ยท On-site

$107K - $138K/yr

Data Science and Data Engineering Job Qualifications: Skills: Analytics, Data Analytics, Data ... Python and/or R. * Tableau. * Palantir. * Data entry. Additional Requirements: * This position ...

Data Analyst

Washington, DC ยท On-site

$70K - $100K/yr

Associate degree in Data Analytics, Engineering, Information Systems, or related field. * 4 years of relevant experience, or 3 years with a Bachelor's degree. * CAP Essentials certification preferred.

Possess knowledge and experience with data analysis and data technical expertise in data management, engineering, and science * Proven proficiency in Python, R, and SQL * Hands-on experience with ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See Burke, VA salary details

$33.6K

$81.6K

$134.3K

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

As of Sep 15, 2026, the average yearly pay for afternoon data analyst r programming in Burke, VA is $81,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,800.00 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 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 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Burke, VA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Burke, VA are:

What cities near Burke, VA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Burke, VA with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Burke, VA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,580 per year, or $39.2 per hour.

Data Analyst

Chantilly, VA โ€ข On-site

Full-time

Posted 14 days ago


Job description

Overview

We are seeking an experienced Data Analyst / Business Analytics Specialist to support data-driven decision-making within a mission-focused environment. The ideal candidate will have hands-on experience analyzing complex datasets, developing data visualizations, identifying trends and relationships, and translating customer requirements into actionable analytical products and system specifications.


What will you do?
  • Apply qualitative and quantitative data analysis methodologies to complex business and mission-related problems.
  • Use critical thinking, analytical judgment, and programmatic, quantitative, and qualitative methods to identify patterns, relationships, and trends across disparate datasets.
  • Perform mathematical, statistical, and other data-driven analyses to answer business questions and support organizational decision-making.
  • Obtain structured and unstructured data from multiple sources, synthesize the information, and present findings clearly and concisely through written and graphical products.
  • Transform, manipulate, combine, and analyze data using programming languages such as Python or R.
  • Develop dashboards, reports, and interactive data visualizations using Tableau.
  • Create visualization mockups and prototypes and demonstrate analytical products to both technical and non-technical audiences.
  • Use data preparation tools such as Tableau Prep Builder to clean, organize, and prepare data for analysis and visualization.
  • Interpret data models and work with a variety of data sources, database structures, and data formats.
  • Use SQL and Excel to query, manipulate, analyze, and validate data.
  • Translate customer requirements and business needs into project or system specifications.
  • Interact directly with customers and stakeholders to coordinate requirements, clarify objectives, and resolve data-related questions.
  • Document analytical methodologies, workflows, processes, and technical procedures.
  • Provide analytical judgment and trend analysis based on research, historical data, and comparisons with previous analytical products.

Do you have what it takes?
  • Active TS/SCI with Polygraph
  • BS degree and 11-15 years of prior relevant experience
  • Demonstrated experience in at least two of the following disciplines:
    • Business Analytics
    • Statistics
    • Data Verification and Validation
    • Data Visualization
  • Demonstrated experience applying qualitative and quantitative data analysis methods to business analytics problems.
  • Experience developing data visualization mockups, prototypes, dashboards, or other graphical analytical products.
  • Experience documenting workflows and work processes.
  • Ability to effectively demonstrate and communicate analytical products to both technical and non-technical audiences.
  • Experience interpreting data models and working with multiple data sources and data structures.
  • Experience translating customer requirements into project or system specifications.
  • Strong interpersonal, written, and verbal communication skills.
  • Self-starter capable of decomposing ambiguous problems into actionable tasks and plans.
  • Hands-on experience with Tableau.
  • Experience transforming, manipulating, and combining data using Python or another programming language.
  • Experience with a data preparation tool such as Tableau Prep Builder.
  • Experience using SQL and Microsoft Excel.
Qualifications:
  • Active TS/SCI with Polygraph
  • BS degree and 11-15 years of prior relevant experience
  • Demonstrated experience in at least two of the following disciplines:
    • Business Analytics
    • Statistics
    • Data Verification and Validation
    • Data Visualization
  • Demonstrated experience applying qualitative and quantitative data analysis methods to business analytics problems.
  • Experience developing data visualization mockups, prototypes, dashboards, or other graphical analytical products.
  • Experience documenting workflows and work processes.
  • Ability to effectively demonstrate and communicate analytical products to both technical and non-technical audiences.
  • Experience interpreting data models and working with multiple data sources and data structures.
  • Experience translating customer requirements into project or system specifications.
  • Strong interpersonal, written, and verbal communication skills.
  • Self-starter capable of decomposing ambiguous problems into actionable tasks and plans.
  • Hands-on experience with Tableau.
  • Experience transforming, manipulating, and combining data using Python or another programming language.
  • Experience with a data preparation tool such as Tableau Prep Builder.
  • Experience using SQL and Microsoft Excel.
Education:UNAVAILABLEEmployment Type: FULL_TIME