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Afternoon Data Analyst R Programming Jobs in Silver Spring, MD

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 ...

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 ...

Master's degree in Computer Science, Mathematics, Public Health, Statistics, Engineering, or a related field. * Proficiency in data cleaning, transformation, and analysis using Python (Pandas), R ...

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 ...

Data Analyst

Bowie, MD ยท On-site

ANOVA) using statistical software applications such as R and SPSS * Work with Senior Database ... Data analysis, involved in both primary and secondary research using data to arrive at decision ...

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 ...

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

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

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.

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

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

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 ...

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 ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See Silver Spring, MD salary details

$35.1K

$85.4K

$140.6K

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

As of Sep 11, 2026, the average yearly pay for afternoon data analyst r programming in Silver Spring, MD is $85,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $100,300.00 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 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Silver Spring, MD?

For Afternoon Data Analyst R Programming jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Silver Spring, MD look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Silver Spring, MD with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $85,431 per year, or $41.1 per hour.

Data Analyst

Arlington, VA โ€ข On-site

Full-time

Re-posted 26 days ago


Job description

Company Description
Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.
Job Description
Air is looking for motivated, curious, and data-driven individuals to join our team as Implementation Engineers. Implementation Engineers at Air have a quantitative mindset and firm understanding of how to use technology and data to solve hard customer problems. Implementation Engineers are responsible for leveraging quantitative skills to configure Air's technology to achieve customer outcomes, communicate data-driven insights to executives in the national security community, and produce compelling program insights, data visualization, and briefings.
In order to do this job well, you must be analytical, understand people, have a strong drive to use technology to solve the hardest problems, and want to learn everything, particularly about the most pressing national security challenges confronting the nation and how data and machine learning can help address them.
You're eager to build a deep understanding of US Government and Defense acquisition processes and the importance of effective and efficient program management, supply chain risk management, and program and technology modernization. You ask hard, uncomfortable questions. You know there are always multiple answers to hard problems, and you know how to engage in a constructive dialogue to find the best path forward.
This role is a full-time position located out of our office in Arlington, VA.
This role requires 60% travel to client sites across the United States - CONUS and OCONUS
Scope of Responsibilities
  • Develop expertise in Air's clients, offerings, and data, and support customers as an Air product and data expert
  • Execute the successful implementation of software and data to Air's customers and provide platform training
  • Use coding languages (SQL, Python) to conduct technical platform configuration and data integration
  • Collaborate with Air Engagement Managers and Product Managers to capture market demand and user needs for inclusion into Air's offerings
  • Proactively drive utilization of the product using targeted training and engagement strategies that drive mission outcomes and analytical insights for platform users
  • Develop and maintain documentation, such as tailored user guide reference materials
  • Conduct research and develop quantitative analytic reports using Air technology and data
  • Orally and visually present data-driven findings concisely and compellingly to internal teams, as well as government officials
  • Demonstrate knowledge in areas such as US Government programs and operations, federal acquisitions and program management, government procurement practices, supplier assurance, federal contracting, Planning, Programming, Budgeting, and Execution (PPBE), Supply Chain Risk Management, and Open Source Intelligence (OSINT) analysis

Depending on your background and expertise, you could also be responsible for:
  • Support the success of Air clients via end-user training and user support
  • Provide technical workflow development and configuration
  • Communicate data-driven insights to executives in the national security space
  • Conduct in-depth quantitative and qualitative analyses on problems of importance to U.S. national security community using data visualization, compelling written paper and briefings
  • Provide product demonstrations in support of sales pursuits efforts

Qualifications
  • U.S. Citizenship is required
  • Bachelor's Degree in Business Administration, Business Analytics, Economics, Mathematics, Computer Science, Data Science, International Relations, Political Science, International Security or similar fields, or 1-4 years of equivalent experience

Required Skills:
  • Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and debug code independently. Comfort in more than one is a plus, but working ability in one is required.
  • 2-6 years of relevant experience, including undergraduate or graduate roles or internships, performing national security-related analytics; preference for research, quantitative analysis, data manipulation, and data visualization skills
  • Excellent professional demeanor with a willingness to work outside of your comfort zone in a fast-paced environment without hesitation
  • Strong aptitude for solving open-ended issues in unpredictable, unstructured environments
  • Outstanding listening, verbal, and written communication skills
  • Ability to manage multiple work-streams and projects, learn quickly, and work independently with little supervision

Desired Skills:
  • Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment
  • 1+ years of relevant experience in user support or user engagement with a focus on platform and product utilization
  • Knowledge of defense acquisition life cycle and program management, technology scouting, and supply chain risk management
  • Knowledge of languages/applications, such as React, Typescript, Java, C, GoLang, or the ability to quickly learn these skills
  • Experience within advisory services, software-as-a-service (SaaS), information services, analytic tools, or data analytics industries
  • Demonstrated ability to conduct relevant business case studies and market analysis using internal and open-source data sources
  • History of engaging with and presenting to federal Government stakeholders

We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.
Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.